From b168722ecdc588a16fe297f2c5fa23830b0c6e36 Mon Sep 17 00:00:00 2001
From: shawk masboob <masboob.shawk@gmail.com>
Date: Sun, 1 Mar 2020 22:25:35 -0500
Subject: [PATCH] completed linear regression

---
 TDA_Prediction.ipynb             | 705 ++++++++++++++++++++-----
 calihousing.html                 | 877 +++++++++++++++++++++++++++++++
 mapper_visualization_output.html | 877 +++++++++++++++++++++++++++++++
 3 files changed, 2326 insertions(+), 133 deletions(-)
 create mode 100644 calihousing.html
 create mode 100644 mapper_visualization_output.html

diff --git a/TDA_Prediction.ipynb b/TDA_Prediction.ipynb
index 520afe0..9053010 100644
--- a/TDA_Prediction.ipynb
+++ b/TDA_Prediction.ipynb
@@ -4,274 +4,711 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<h1><center>Prediction using Topological Data Analysis</center></h1>"
+    "<h1><center>Prediction using Topological Data Analysis</center></h1>\n",
+    "<img src=\"https://geotg.com/wp-content/uploads/2017/11/data-analytics.png\" width=\"70%\">\n",
+    "<p style=\"text-align: center;\">Image from: https://geotg.com/data-analytics/</p>"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Give brief overview of notebook's purpose.\n",
-    "Also maybe add cool picture."
+    "Give brief overview of notebook's purpose."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
-   "metadata": {},
+   "execution_count": 54,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [],
    "source": [
     "from Topological_ML import TDA_Prediction as tdap\n",
     "from sklearn.datasets import fetch_california_housing\n",
     "from sklearn.model_selection import train_test_split\n",
+    "from sklearn.preprocessing import StandardScaler\n",
     "from sklearn.linear_model import LinearRegression\n",
     "import kmapper as km\n",
     "import pandas as pd\n",
     "import numpy as np\n",
     "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
     "import sklearn\n",
-    "from sklearn import ensemble"
+    "from sklearn import ensemble\n",
+    "from pandas.plotting import scatter_matrix\n",
+    "from sklearn import metrics\n",
+    "from mlxtend.feature_selection import SequentialFeatureSelector as SFS"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 2,
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Statistical Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "cal_housing = fetch_california_housing()"
+    "This section will use statistical tools to build a model."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The California Housing dataframe has 20640 rows and 9 columns.\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "MedInc        float64\n",
+       "HouseAge      float64\n",
+       "AveRooms      float64\n",
+       "AveBedrms     float64\n",
+       "Population    float64\n",
+       "AveOccup      float64\n",
+       "Latitude      float64\n",
+       "Longitude     float64\n",
+       "target        float64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "def numpy_to_pandas(sklearn_data):\n",
-    "    df = pd.DataFrame(data = sklearn_data.data, columns = sklearn_data.feature_names)\n",
-    "    df['response'] = pd.Series(sklearn_data.target)\n",
-    "    return df\n",
+    "# Import data from scikit-learn\n",
+    "cal_housing = fetch_california_housing()\n",
+    "\n",
+    "# Convert dataset into pandas dataframe\n",
+    "df = tdap.numpy_to_pandas(cal_housing)\n",
     "\n",
-    "df = numpy_to_pandas(cal_housing)"
+    "# Dimension of data\n",
+    "print('The California Housing dataframe has', df.shape[0], 'rows and', df.shape[1], 'columns.')\n",
+    "df.dtypes"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 4,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "def descriptive_statistic(df, n):\n",
-    "    \"\"\"\n",
-    "    Provides brief descriptive statistics on dataset. \n",
-    "    Takes dataframe as input.\n",
-    "    \"\"\"\n",
-    "    d = dict()\n",
-    "    d['head'] = df.head(n)\n",
-    "    d['shape'] = df.shape\n",
-    "    d['missing values'] = df.isna().sum()\n",
-    "    d['describe'] = df.describe()\n",
-    "    return d"
+    "#### Exploratory Data Analysis"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
+   "execution_count": 14,
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>MedInc</th>\n",
+       "      <th>HouseAge</th>\n",
+       "      <th>AveRooms</th>\n",
+       "      <th>AveBedrms</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>AveOccup</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>target</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>8.3252</td>\n",
+       "      <td>41.0</td>\n",
+       "      <td>6.984127</td>\n",
+       "      <td>1.023810</td>\n",
+       "      <td>322.0</td>\n",
+       "      <td>2.555556</td>\n",
+       "      <td>37.88</td>\n",
+       "      <td>-122.23</td>\n",
+       "      <td>4.526</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>8.3014</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>6.238137</td>\n",
+       "      <td>0.971880</td>\n",
+       "      <td>2401.0</td>\n",
+       "      <td>2.109842</td>\n",
+       "      <td>37.86</td>\n",
+       "      <td>-122.22</td>\n",
+       "      <td>3.585</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>7.2574</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>8.288136</td>\n",
+       "      <td>1.073446</td>\n",
+       "      <td>496.0</td>\n",
+       "      <td>2.802260</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>-122.24</td>\n",
+       "      <td>3.521</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>5.6431</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>5.817352</td>\n",
+       "      <td>1.073059</td>\n",
+       "      <td>558.0</td>\n",
+       "      <td>2.547945</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>3.413</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3.8462</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>6.281853</td>\n",
+       "      <td>1.081081</td>\n",
+       "      <td>565.0</td>\n",
+       "      <td>2.181467</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>3.422</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>4.0368</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>4.761658</td>\n",
+       "      <td>1.103627</td>\n",
+       "      <td>413.0</td>\n",
+       "      <td>2.139896</td>\n",
+       "      <td>37.85</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>2.697</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3.6591</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>4.931907</td>\n",
+       "      <td>0.951362</td>\n",
+       "      <td>1094.0</td>\n",
+       "      <td>2.128405</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>2.992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3.1200</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>4.797527</td>\n",
+       "      <td>1.061824</td>\n",
+       "      <td>1157.0</td>\n",
+       "      <td>1.788253</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>2.414</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>2.0804</td>\n",
+       "      <td>42.0</td>\n",
+       "      <td>4.294118</td>\n",
+       "      <td>1.117647</td>\n",
+       "      <td>1206.0</td>\n",
+       "      <td>2.026891</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>-122.26</td>\n",
+       "      <td>2.267</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>3.6912</td>\n",
+       "      <td>52.0</td>\n",
+       "      <td>4.970588</td>\n",
+       "      <td>0.990196</td>\n",
+       "      <td>1551.0</td>\n",
+       "      <td>2.172269</td>\n",
+       "      <td>37.84</td>\n",
+       "      <td>-122.25</td>\n",
+       "      <td>2.611</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "{'head':    MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
-       " 0  8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
-       " 1  8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
-       " 2  7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
-       " 3  5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
-       " 4  3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
-       " \n",
-       "    Longitude  response  \n",
-       " 0    -122.23     4.526  \n",
-       " 1    -122.22     3.585  \n",
-       " 2    -122.24     3.521  \n",
-       " 3    -122.25     3.413  \n",
-       " 4    -122.25     3.422  ,\n",
-       " 'shape': (20640, 9),\n",
-       " 'missing values': MedInc        0\n",
-       " HouseAge      0\n",
-       " AveRooms      0\n",
-       " AveBedrms     0\n",
-       " Population    0\n",
-       " AveOccup      0\n",
-       " Latitude      0\n",
-       " Longitude     0\n",
-       " response      0\n",
-       " dtype: int64,\n",
-       " 'describe':              MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
-       " count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
-       " mean       3.870671     28.639486      5.429000      1.096675   1425.476744   \n",
-       " std        1.899822     12.585558      2.474173      0.473911   1132.462122   \n",
-       " min        0.499900      1.000000      0.846154      0.333333      3.000000   \n",
-       " 25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
-       " 50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
-       " 75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
-       " max       15.000100     52.000000    141.909091     34.066667  35682.000000   \n",
-       " \n",
-       "            AveOccup      Latitude     Longitude      response  \n",
-       " count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
-       " mean       3.070655     35.631861   -119.569704      2.068558  \n",
-       " std       10.386050      2.135952      2.003532      1.153956  \n",
-       " min        0.692308     32.540000   -124.350000      0.149990  \n",
-       " 25%        2.429741     33.930000   -121.800000      1.196000  \n",
-       " 50%        2.818116     34.260000   -118.490000      1.797000  \n",
-       " 75%        3.282261     37.710000   -118.010000      2.647250  \n",
-       " max     1243.333333     41.950000   -114.310000      5.000010  }"
+       "   MedInc  HouseAge  AveRooms  AveBedrms  Population  AveOccup  Latitude  \\\n",
+       "0  8.3252      41.0  6.984127   1.023810       322.0  2.555556     37.88   \n",
+       "1  8.3014      21.0  6.238137   0.971880      2401.0  2.109842     37.86   \n",
+       "2  7.2574      52.0  8.288136   1.073446       496.0  2.802260     37.85   \n",
+       "3  5.6431      52.0  5.817352   1.073059       558.0  2.547945     37.85   \n",
+       "4  3.8462      52.0  6.281853   1.081081       565.0  2.181467     37.85   \n",
+       "5  4.0368      52.0  4.761658   1.103627       413.0  2.139896     37.85   \n",
+       "6  3.6591      52.0  4.931907   0.951362      1094.0  2.128405     37.84   \n",
+       "7  3.1200      52.0  4.797527   1.061824      1157.0  1.788253     37.84   \n",
+       "8  2.0804      42.0  4.294118   1.117647      1206.0  2.026891     37.84   \n",
+       "9  3.6912      52.0  4.970588   0.990196      1551.0  2.172269     37.84   \n",
+       "\n",
+       "   Longitude  target  \n",
+       "0    -122.23   4.526  \n",
+       "1    -122.22   3.585  \n",
+       "2    -122.24   3.521  \n",
+       "3    -122.25   3.413  \n",
+       "4    -122.25   3.422  \n",
+       "5    -122.25   2.697  \n",
+       "6    -122.25   2.992  \n",
+       "7    -122.25   2.414  \n",
+       "8    -122.26   2.267  \n",
+       "9    -122.25   2.611  "
       ]
      },
-     "execution_count": 5,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "descriptive_statistic(df, 5)"
+    "# Print first 10 rows\n",
+    "df.head(10)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "((20640,), (20640, 7))"
+       "<Figure size 432x288 with 0 Axes>"
       ]
      },
-     "execution_count": 6,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1800x1800 with 81 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "lm = LinearRegression()\n",
-    "\n",
-    "ys = df['response']\n",
-    "xs = np.c_[df['MedInc'],df['HouseAge'], df['AveRooms'], df['Population'], df['AveOccup'], df['Latitude'], df['Longitude']]\n",
-    "\n",
-    "lm.fit(xs,ys)\n",
-    "ys.shape, xs.shape"
+    "fig = plt.figure()\n",
+    "scatter_matrix(df,figsize =(25,25),alpha=0.9,diagonal=\"kde\",marker=\"o\");"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "image/png": 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\n",
       "text/plain": [
-       "(20640,)"
+       "<Figure size 1800x1800 with 9 Axes>"
       ]
      },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "pred = lm.predict(xs)\n",
-    "pred.shape"
+    "df.hist(figsize=(25,25),bins=50)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>MedInc</th>\n",
+       "      <th>HouseAge</th>\n",
+       "      <th>AveRooms</th>\n",
+       "      <th>AveBedrms</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>AveOccup</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>response</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "      <td>20640.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>3.870671</td>\n",
+       "      <td>28.639486</td>\n",
+       "      <td>5.429000</td>\n",
+       "      <td>1.096675</td>\n",
+       "      <td>1425.476744</td>\n",
+       "      <td>3.070655</td>\n",
+       "      <td>35.631861</td>\n",
+       "      <td>-119.569704</td>\n",
+       "      <td>2.068558</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>1.899822</td>\n",
+       "      <td>12.585558</td>\n",
+       "      <td>2.474173</td>\n",
+       "      <td>0.473911</td>\n",
+       "      <td>1132.462122</td>\n",
+       "      <td>10.386050</td>\n",
+       "      <td>2.135952</td>\n",
+       "      <td>2.003532</td>\n",
+       "      <td>1.153956</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>0.499900</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.846154</td>\n",
+       "      <td>0.333333</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>0.692308</td>\n",
+       "      <td>32.540000</td>\n",
+       "      <td>-124.350000</td>\n",
+       "      <td>0.149990</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>2.563400</td>\n",
+       "      <td>18.000000</td>\n",
+       "      <td>4.440716</td>\n",
+       "      <td>1.006079</td>\n",
+       "      <td>787.000000</td>\n",
+       "      <td>2.429741</td>\n",
+       "      <td>33.930000</td>\n",
+       "      <td>-121.800000</td>\n",
+       "      <td>1.196000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>3.534800</td>\n",
+       "      <td>29.000000</td>\n",
+       "      <td>5.229129</td>\n",
+       "      <td>1.048780</td>\n",
+       "      <td>1166.000000</td>\n",
+       "      <td>2.818116</td>\n",
+       "      <td>34.260000</td>\n",
+       "      <td>-118.490000</td>\n",
+       "      <td>1.797000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>4.743250</td>\n",
+       "      <td>37.000000</td>\n",
+       "      <td>6.052381</td>\n",
+       "      <td>1.099526</td>\n",
+       "      <td>1725.000000</td>\n",
+       "      <td>3.282261</td>\n",
+       "      <td>37.710000</td>\n",
+       "      <td>-118.010000</td>\n",
+       "      <td>2.647250</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>15.000100</td>\n",
+       "      <td>52.000000</td>\n",
+       "      <td>141.909091</td>\n",
+       "      <td>34.066667</td>\n",
+       "      <td>35682.000000</td>\n",
+       "      <td>1243.333333</td>\n",
+       "      <td>41.950000</td>\n",
+       "      <td>-114.310000</td>\n",
+       "      <td>5.000010</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "0.5961995839710023"
+       "             MedInc      HouseAge      AveRooms     AveBedrms    Population  \\\n",
+       "count  20640.000000  20640.000000  20640.000000  20640.000000  20640.000000   \n",
+       "mean       3.870671     28.639486      5.429000      1.096675   1425.476744   \n",
+       "std        1.899822     12.585558      2.474173      0.473911   1132.462122   \n",
+       "min        0.499900      1.000000      0.846154      0.333333      3.000000   \n",
+       "25%        2.563400     18.000000      4.440716      1.006079    787.000000   \n",
+       "50%        3.534800     29.000000      5.229129      1.048780   1166.000000   \n",
+       "75%        4.743250     37.000000      6.052381      1.099526   1725.000000   \n",
+       "max       15.000100     52.000000    141.909091     34.066667  35682.000000   \n",
+       "\n",
+       "           AveOccup      Latitude     Longitude      response  \n",
+       "count  20640.000000  20640.000000  20640.000000  20640.000000  \n",
+       "mean       3.070655     35.631861   -119.569704      2.068558  \n",
+       "std       10.386050      2.135952      2.003532      1.153956  \n",
+       "min        0.692308     32.540000   -124.350000      0.149990  \n",
+       "25%        2.429741     33.930000   -121.800000      1.196000  \n",
+       "50%        2.818116     34.260000   -118.490000      1.797000  \n",
+       "75%        3.282261     37.710000   -118.010000      2.647250  \n",
+       "max     1243.333333     41.950000   -114.310000      5.000010  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "r2_sk = lm.score(xs,ys)\n",
-    "r2_sk"
+    "# Descriptive statistics of data\n",
+    "df.describe()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 720x720 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "train, test = train_test_split(df, test_size = .2, random_state = 42)\n",
-    "x_train = train.drop('response', axis = 1)\n",
-    "y_train = train.response\n",
+    "# correlation heatmap\n",
+    "plt.figure(figsize = (10,10))\n",
+    "\n",
+    "sns.heatmap(df.corr(), annot = True, center=0, square = True, linewidths = .5,\n",
+    "            cbar_kws={\"shrink\": .5}, fmt = '.2f', cmap = 'seismic', vmin = -1, vmax=1)\n",
     "\n",
-    "def linear_regression(x, y):\n",
-    "    model = LinearRegression()\n",
-    "    model.fit(x, y)\n",
-    "    return model.score(x ,y)"
+    "plt.title('California Housing Heatmap')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Multiple Linear Regression"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 68,
    "metadata": {},
    "outputs": [
     {
-     "data": {
-      "text/plain": [
-       "1.0"
-      ]
-     },
-     "execution_count": 31,
-     "metadata": {},
-     "output_type": "execute_result"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "('0', '1', '2', '3', '4', '5', '6', '7')\n",
+      "('0', '1', '2', '3', '4', '5', '6', '7')\n",
+      "('0', '1', '2', '3', '4', '5', '6', '7')\n"
+     ]
     }
    ],
    "source": [
-    "a = pd.DataFrame({\"A\": [1,2,3,4,5,6,7,8,9,10]})\n",
-    "b = pd.DataFrame({\"B\": [2,4,6,8,10,12,14,16,18,20]})\n",
-    "test = linear_regression(a, b)\n",
-    "test"
+    "# feature variables\n",
+    "X = df.drop('target', axis=1)\n",
+    "\n",
+    "# response variable\n",
+    "y = df['target']\n",
+    "\n",
+    "# split data into training and testing (80:20)\n",
+    "X_train,X_test,y_train,y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+    "\n",
+    "# Feature scaling\n",
+    "sc = StandardScaler()\n",
+    "X_train = sc.fit_transform(X_train)\n",
+    "X_test = sc.transform(X_test)\n",
+    "\n",
+    "# Feature selection using sequential backward selection(sbs)\n",
+    "sbs = SFS(LinearRegression(), k_features = (1,8), forward = False, floating = False, cv = 0)\n",
+    "sbs.fit(X_train, y_train)\n",
+    "print(sbs.k_feature_names_)\n",
+    "\n",
+    "# Feature selection using sequential foward selection(sbs)\n",
+    "sfs = SFS(LinearRegression(), k_features = (1,8), forward = True, floating = False, scoring = 'r2', cv = 0)\n",
+    "sfs.fit(X_train, y_train)\n",
+    "print(sfs.k_feature_names_)\n",
+    "\n",
+    "# Feature selection using stepwise selection (sws)\n",
+    "sws = SFS(LinearRegression(), k_features=(1,8), forward=True, floating=True,cv=0)\n",
+    "sws.fit(X_train, y_train)\n",
+    "print(sws.k_feature_names_)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
-   "metadata": {
-    "scrolled": true
-   },
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "train model score: 0.6125511913966952\n",
+      "4128\n",
+      "4128\n",
+      "[0.71912284 1.76401657 2.70965883 2.83892593 2.60465725]\n",
+      "20046    0.47700\n",
+      "3024     0.45800\n",
+      "15663    5.00001\n",
+      "20484    2.18600\n",
+      "9814     2.78000\n",
+      "Name: target, dtype: float64\n",
+      "test model score: 0.575787706032451\n"
+     ]
+    }
+   ],
+   "source": [
+    "fit = LinearRegression().fit(X_train,y_train)\n",
+    "print(\"train model score:\",fit.score(X_train,y_train))\n",
+    "y_pred = fit.predict(X_test)\n",
+    "print(len(y_pred))\n",
+    "print(len(y_test))\n",
+    "print(y_pred[0:5])\n",
+    "print(y_test[0:5])\n",
+    "print(\"test model score:\",fit.score(X_test,y_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.6125511913966952"
+       "<seaborn.axisgrid.JointGrid at 0x130ad9048>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1152x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
     }
    ],
    "source": [
-    "test = linear_regression(x_train, y_train)\n",
-    "test"
+    "test = pd.DataFrame({'Predicted':y_pred,'Actual':y_test})\n",
+    "fig= plt.figure(figsize=(16,8))\n",
+    "test = test.reset_index()\n",
+    "test = test.drop(['index'],axis=1)\n",
+    "plt.plot(test[:50])\n",
+    "plt.legend(['Actual','Predicted'])\n",
+    "sns.jointplot(x='Actual',y='Predicted',data=test,kind='reg',)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### MAPPER"
+    "### Topological Data Analysis"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "We now use TDA for prediction using MAPPER."
    ]
   },
   {
@@ -571,7 +1008,9 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "metadata": {},
+   "metadata": {
+    "scrolled": true
+   },
    "outputs": [
     {
      "name": "stderr",
diff --git a/calihousing.html b/calihousing.html
new file mode 100644
index 0000000..c7adec4
--- /dev/null
+++ b/calihousing.html
@@ -0,0 +1,877 @@
+<!DOCTYPE html>
+<html>
+
+<head>
+  <meta charset="utf-8">
+  <meta name="generator" content="KeplerMapper">
+  <title>California Housing Dataset | KeplerMapper</title>
+
+  <link rel="icon" type="image/png" href="http://i.imgur.com/axOG6GJ.jpg" />
+
+  <link href='https://fonts.googleapis.com/css?family=Roboto+Mono:700,300' rel='stylesheet' type='text/css'>
+  <style>* {
+  margin: 0;
+  padding: 0;
+}
+
+html, body {
+  height: 100%;
+}
+
+body {
+  font-family: "Roboto Mono", "Helvetica", sans-serif;
+  font-size: 14px;
+}
+
+#logo {
+  position: absolute;
+  right: 00px;
+  top: 0px;
+  width: 90px;
+  height: 90px;
+  z-index: 999999;
+}
+
+#display {
+  color: #95A5A6;
+  background: #212121;
+}
+
+#print {
+  color: #000;
+  background: #FFF;
+}
+
+h1 {
+  font-size: 21px;
+  font-weight: 300;
+  font-weight: 300;
+}
+
+h2 {
+  font-size: 18px;
+  padding-bottom: 20px;
+  font-weight: 300;
+}
+
+h3 {
+  font-size: 14px;
+  font-weight: 700;
+  text-transform: uppercase;
+}
+
+h4 {
+  font-size: 13px;
+  font-weight: 700;
+  text-transform: uppercase;
+  padding-bottom:0px;
+}
+
+
+#meta_content h3 {
+  float: left;
+  padding-right: 8px;
+}
+
+p, #tooltip_content h3, ol, ul, table {
+  padding-bottom: 10px;
+}
+
+ol, ul {
+  padding-left: 20px;
+}
+
+ol b {
+  display: block;
+}
+
+a {
+  color: #16a085;
+  text-decoration: none;
+}
+
+#panes {
+    /* background: #e24d4d; */
+  /* position: absolute; */
+  /* height: 100%; */
+  /* width: 100%; */
+  /* display: block; */
+  /* z-index: 9999; */
+}
+
+a:hover {
+  color: #2ecc71;
+}
+
+#header {
+  height: 35px;
+  /* padding-top: 20px; */
+  padding:10px;
+  padding-left:20px;
+  position: relative;
+}
+
+#display #header, #display #toolbar {
+  background: #111111;
+  box-shadow: 0px 0px 4px #000;
+}
+
+#print #header, #print #toolbar {
+  background: #FFF;
+}
+
+
+#canvas {
+  position: absolute;
+  height: 100%;
+  width: 100%;
+  display: block;
+}
+
+
+#toolbar {
+  position: relative;
+  padding-top: 10px;
+  padding-bottom: 10px;
+
+  width: 100%;
+  overflow: auto;
+}
+
+/* #display #toolbar {
+  background: #111111;
+}
+
+#print #toolbar {
+  background: #FFF;
+} */
+
+.tool_item {
+  padding-left: 20px;
+  position: relative;
+  float: left;
+}
+
+.pane_content {
+  position: relative;
+  float: left;
+  width: 300px;
+  height:100%;
+  padding: 20px;
+  overflow: auto;
+  display: none;
+}
+
+/* Chrome only: */
+@media all and (-webkit-min-device-pixel-ratio:0) and (min-resolution: .001dpcm) { 
+  .pane_content {
+    width: 314px;
+    padding-right: 10px;
+  }
+}
+
+
+#helptip_content {
+  float:right;
+}
+
+#display .pane_content {
+  background: #191919;
+}
+
+#print .pane_content{
+  background: #FFF;
+}
+
+#meta_content {
+  float:right;
+}
+
+#meta_content::-webkit-scrollbar, #tooltip_content::-webkit-scrollbar {
+  width: 1em;
+}
+
+#meta_content::-webkit-scrollbar-track, #tooltip_content::-webkit-scrollbar-track {
+  -webkit-box-shadow: inset 0 0 6px rgba(0, 0, 0, 0.3);
+}
+
+#meta_content::-webkit-scrollbar-thumb, #tooltip_content::-webkit-scrollbar-thumb {
+  background-color: darkgrey;
+  outline: 1px solid slategrey;
+}
+
+#histogram {
+  display: block;
+  height: 100px;
+  padding-top: 50px;
+  clear: both;
+}
+
+#display #histogram {
+  opacity: 0.68;
+}
+
+.bin {
+  width: 10%;
+  float: left;
+}
+
+.bin div {
+  font-size: 10px;
+  display: block;
+  width: 35px;
+  margin-top: -30px;
+  text-align: right;
+  margin-left: -3px;
+  -webkit-transform: rotate(-90deg);
+  -moz-transform: rotate(-90deg);
+  -ms-transform: rotate(-90deg);
+  -o-transform: rotate(-90deg);
+}
+
+#histogram:hover {
+  opacity: 1.;
+}
+
+#display .circle {
+  stroke-opacity: 0.18;
+  stroke-width: 7px;
+  stroke: #000;
+}
+
+#print .circle {
+  stroke-opacity: 1;
+  stroke-width: 2px;
+  stroke: #000;
+  stroke-linecap: round;
+}
+
+#print .link {
+  stroke: #000;
+}
+
+#display .link {
+  stroke: rgba(160, 160, 160, 0.5);
+}
+
+table {
+  border-collapse: collapse;
+  display: table;
+  width: 100%;
+  margin-bottom: 20px;
+}
+
+td, th {
+  padding: 5px;
+  text-align: left;
+}
+
+#display th {
+  background: #212121
+}
+
+td {
+  border-bottom: 1px solid #111;
+}
+</style>
+
+</head>
+
+<body id="display">
+
+  <!-- Storage of data so D3 can access it later. This is in <body> so Chrome doesn't wholesale move all head content to body. -->
+  <div id="json_graph" data-graph='{"links": [{"source": 0, "target": 6, "width": 1}, {"source": 1, "target": 7, "width": 1}, {"source": 2, "target": 4, "width": 1}, {"source": 2, "target": 8, "width": 1}, {"source": 2, "target": 10, "width": 1}, {"source": 3, "target": 5, "width": 1}, {"source": 3, "target": 9, "width": 1}, {"source": 3, "target": 11, "width": 1}, {"source": 4, "target": 8, "width": 1}, {"source": 4, "target": 10, "width": 1}, {"source": 5, "target": 9, "width": 1}, {"source": 5, "target": 11, "width": 1}, {"source": 6, "target": 12, "width": 1}, {"source": 7, "target": 13, "width": 1}, {"source": 8, "target": 10, "width": 1}, {"source": 9, "target": 11, "width": 1}, {"source": 12, "target": 18, "width": 1}, {"source": 13, "target": 14, "width": 1}, {"source": 13, "target": 18, "width": 1}, {"source": 13, "target": 19, "width": 1}, {"source": 13, "target": 20, "width": 1}, {"source": 14, "target": 19, "width": 1}, {"source": 14, "target": 20, "width": 1}, {"source": 15, "target": 16, "width": 1}, {"source": 15, "target": 21, "width": 1}, {"source": 15, "target": 22, "width": 1}, {"source": 16, "target": 21, "width": 1}, {"source": 16, "target": 22, "width": 1}, {"source": 17, "target": 23, "width": 1}, {"source": 17, "target": 25, "width": 1}, {"source": 18, "target": 28, "width": 1}, {"source": 19, "target": 20, "width": 1}, {"source": 19, "target": 28, "width": 1}, {"source": 19, "target": 29, "width": 1}, {"source": 19, "target": 31, "width": 1}, {"source": 20, "target": 29, "width": 1}, {"source": 20, "target": 30, "width": 1}, {"source": 20, "target": 31, "width": 1}, {"source": 21, "target": 22, "width": 1}, {"source": 21, "target": 30, "width": 1}, {"source": 21, "target": 32, "width": 1}, {"source": 22, "target": 30, "width": 1}, {"source": 22, "target": 32, "width": 1}, {"source": 23, "target": 25, "width": 1}, {"source": 23, "target": 33, "width": 1}, {"source": 23, "target": 34, "width": 1}, {"source": 24, "target": 26, "width": 1}, {"source": 24, "target": 35, "width": 1}, {"source": 25, "target": 33, "width": 1}, {"source": 25, "target": 34, "width": 1}, {"source": 26, "target": 35, "width": 1}, {"source": 28, "target": 36, "width": 1}, {"source": 29, "target": 31, "width": 1}, {"source": 29, "target": 36, "width": 1}, {"source": 29, "target": 37, "width": 1}, {"source": 29, "target": 39, "width": 1}, {"source": 30, "target": 32, "width": 1}, {"source": 30, "target": 38, "width": 1}, {"source": 31, "target": 37, "width": 1}, {"source": 31, "target": 39, "width": 1}, {"source": 32, "target": 40, "width": 1}, {"source": 33, "target": 34, "width": 1}, {"source": 33, "target": 40, "width": 1}, {"source": 33, "target": 43, "width": 1}, {"source": 34, "target": 40, "width": 1}, {"source": 34, "target": 43, "width": 1}, {"source": 36, "target": 48, "width": 1}, {"source": 37, "target": 39, "width": 1}, {"source": 37, "target": 48, "width": 1}, {"source": 37, "target": 49, "width": 1}, {"source": 37, "target": 51, "width": 1}, {"source": 38, "target": 40, "width": 1}, {"source": 38, "target": 41, "width": 1}, {"source": 38, "target": 50, "width": 1}, {"source": 38, "target": 53, "width": 1}, {"source": 39, "target": 49, "width": 1}, {"source": 39, "target": 51, "width": 1}, {"source": 40, "target": 43, "width": 1}, {"source": 40, "target": 50, "width": 1}, {"source": 40, "target": 53, "width": 1}, {"source": 41, "target": 50, "width": 1}, {"source": 41, "target": 53, "width": 1}, {"source": 42, "target": 45, "width": 1}, {"source": 42, "target": 55, "width": 1}, {"source": 42, "target": 56, "width": 1}, {"source": 44, "target": 46, "width": 1}, {"source": 44, "target": 47, "width": 1}, {"source": 44, "target": 57, "width": 1}, {"source": 44, "target": 59, "width": 1}, {"source": 45, "target": 55, "width": 1}, {"source": 45, "target": 56, "width": 1}, {"source": 46, "target": 57, "width": 1}, {"source": 46, "target": 59, "width": 1}, {"source": 47, "target": 57, "width": 1}, {"source": 47, "target": 59, "width": 1}, {"source": 48, "target": 64, "width": 1}, {"source": 49, "target": 51, "width": 1}, {"source": 49, "target": 64, "width": 1}, {"source": 49, "target": 65, "width": 1}, {"source": 49, "target": 67, "width": 1}, {"source": 50, "target": 53, "width": 1}, {"source": 50, "target": 66, "width": 1}, {"source": 50, "target": 69, "width": 1}, {"source": 51, "target": 65, "width": 1}, {"source": 51, "target": 67, "width": 1}, {"source": 52, "target": 54, "width": 1}, {"source": 52, "target": 68, "width": 1}, {"source": 52, "target": 70, "width": 1}, {"source": 53, "target": 66, "width": 1}, {"source": 53, "target": 68, "width": 1}, {"source": 53, "target": 69, "width": 1}, {"source": 54, "target": 68, "width": 1}, {"source": 54, "target": 70, "width": 1}, {"source": 55, "target": 56, "width": 1}, {"source": 55, "target": 70, "width": 1}, {"source": 55, "target": 71, "width": 1}, {"source": 55, "target": 72, "width": 1}, {"source": 56, "target": 71, "width": 1}, {"source": 56, "target": 72, "width": 1}, {"source": 57, "target": 59, "width": 1}, {"source": 57, "target": 72, "width": 1}, {"source": 58, "target": 60, "width": 1}, {"source": 59, "target": 74, "width": 1}, {"source": 61, "target": 62, "width": 1}, {"source": 61, "target": 63, "width": 1}, {"source": 64, "target": 76, "width": 1}, {"source": 65, "target": 67, "width": 1}, {"source": 65, "target": 77, "width": 1}, {"source": 65, "target": 79, "width": 1}, {"source": 66, "target": 69, "width": 1}, {"source": 66, "target": 78, "width": 1}, {"source": 66, "target": 80, "width": 1}, {"source": 67, "target": 77, "width": 1}, {"source": 67, "target": 79, "width": 1}, {"source": 68, "target": 70, "width": 1}, {"source": 68, "target": 81, "width": 1}, {"source": 68, "target": 83, "width": 1}, {"source": 69, "target": 78, "width": 1}, {"source": 69, "target": 80, "width": 1}, {"source": 70, "target": 81, "width": 1}, {"source": 70, "target": 82, "width": 1}, {"source": 70, "target": 83, "width": 1}, {"source": 71, "target": 72, "width": 1}, {"source": 71, "target": 82, "width": 1}, {"source": 71, "target": 84, "width": 1}, {"source": 72, "target": 82, "width": 1}, {"source": 72, "target": 84, "width": 1}, {"source": 73, "target": 75, "width": 1}, {"source": 73, "target": 85, "width": 1}, {"source": 73, "target": 86, "width": 1}, {"source": 75, "target": 85, "width": 1}, {"source": 75, "target": 86, "width": 1}, {"source": 76, "target": 88, "width": 1}, {"source": 77, "target": 79, "width": 1}, {"source": 77, "target": 88, "width": 1}, {"source": 77, "target": 89, "width": 1}, {"source": 77, "target": 90, "width": 1}, {"source": 78, "target": 80, "width": 1}, {"source": 78, "target": 91, "width": 1}, {"source": 78, "target": 92, "width": 1}, {"source": 78, "target": 93, "width": 1}, {"source": 79, "target": 89, "width": 1}, {"source": 79, "target": 90, "width": 1}, {"source": 80, "target": 91, "width": 1}, {"source": 80, "target": 92, "width": 1}, {"source": 80, "target": 93, "width": 1}, {"source": 81, "target": 83, "width": 1}, {"source": 81, "target": 93, "width": 1}, {"source": 81, "target": 94, "width": 1}, {"source": 81, "target": 95, "width": 1}, {"source": 82, "target": 84, "width": 1}, {"source": 82, "target": 94, "width": 1}, {"source": 82, "target": 96, "width": 1}, {"source": 82, "target": 97, "width": 1}, {"source": 83, "target": 93, "width": 1}, {"source": 83, "target": 94, "width": 1}, {"source": 83, "target": 95, "width": 1}, {"source": 84, "target": 94, "width": 1}, {"source": 84, "target": 96, "width": 1}, {"source": 84, "target": 97, "width": 1}, {"source": 85, "target": 86, "width": 1}, {"source": 85, "target": 87, "width": 1}, {"source": 88, "target": 98, "width": 1}, {"source": 89, "target": 90, "width": 1}, {"source": 89, "target": 98, "width": 1}, {"source": 89, "target": 99, "width": 1}, {"source": 89, "target": 100, "width": 1}, {"source": 89, "target": 101, "width": 1}, {"source": 90, "target": 99, "width": 1}, {"source": 90, "target": 100, "width": 1}, {"source": 90, "target": 101, "width": 1}, {"source": 91, "target": 92, "width": 1}, {"source": 91, "target": 93, "width": 1}, {"source": 91, "target": 101, "width": 1}, {"source": 91, "target": 102, "width": 1}, {"source": 91, "target": 103, "width": 1}, {"source": 92, "target": 101, "width": 1}, {"source": 92, "target": 102, "width": 1}, {"source": 93, "target": 94, "width": 1}, {"source": 93, "target": 95, "width": 1}, {"source": 93, "target": 101, "width": 1}, {"source": 93, "target": 103, "width": 1}, {"source": 93, "target": 104, "width": 1}, {"source": 93, "target": 105, "width": 1}, {"source": 94, "target": 96, "width": 1}, {"source": 94, "target": 97, "width": 1}, {"source": 95, "target": 103, "width": 1}, {"source": 95, "target": 104, "width": 1}, {"source": 95, "target": 105, "width": 1}, {"source": 98, "target": 106, "width": 1}, {"source": 98, "target": 107, "width": 1}, {"source": 99, "target": 100, "width": 1}, {"source": 99, "target": 101, "width": 1}, {"source": 99, "target": 107, "width": 1}, {"source": 99, "target": 108, "width": 1}, {"source": 99, "target": 109, "width": 1}, {"source": 100, "target": 107, "width": 1}, {"source": 100, "target": 108, "width": 1}, {"source": 100, "target": 109, "width": 1}, {"source": 101, "target": 102, "width": 1}, {"source": 101, "target": 103, "width": 1}, {"source": 101, "target": 107, "width": 1}, {"source": 101, "target": 109, "width": 1}, {"source": 101, "target": 110, "width": 1}, {"source": 101, "target": 111, "width": 1}, {"source": 102, "target": 109, "width": 1}, {"source": 102, "target": 110, "width": 1}, {"source": 102, "target": 111, "width": 1}, {"source": 103, "target": 104, "width": 1}, {"source": 103, "target": 105, "width": 1}, {"source": 103, "target": 111, "width": 1}, {"source": 103, "target": 112, "width": 1}, {"source": 103, "target": 113, "width": 1}, {"source": 104, "target": 111, "width": 1}, {"source": 104, "target": 113, "width": 1}, {"source": 105, "target": 111, "width": 1}, {"source": 105, "target": 112, "width": 1}, {"source": 106, "target": 114, "width": 1}, {"source": 106, "target": 115, "width": 1}, {"source": 107, "target": 108, "width": 1}, {"source": 107, "target": 109, "width": 1}, {"source": 107, "target": 115, "width": 1}, {"source": 107, "target": 116, "width": 1}, {"source": 107, "target": 117, "width": 1}, {"source": 108, "target": 115, "width": 1}, {"source": 108, "target": 116, "width": 1}, {"source": 108, "target": 117, "width": 1}, {"source": 109, "target": 110, "width": 1}, {"source": 109, "target": 111, "width": 1}, {"source": 109, "target": 115, "width": 1}, {"source": 109, "target": 117, "width": 1}, {"source": 109, "target": 118, "width": 1}, {"source": 109, "target": 119, "width": 1}, {"source": 110, "target": 117, "width": 1}, {"source": 110, "target": 118, "width": 1}, {"source": 110, "target": 119, "width": 1}, {"source": 111, "target": 112, "width": 1}, {"source": 111, "target": 113, "width": 1}, {"source": 111, "target": 117, "width": 1}, {"source": 111, "target": 119, "width": 1}, {"source": 114, "target": 120, "width": 1}, {"source": 114, "target": 121, "width": 1}, {"source": 115, "target": 116, "width": 1}, {"source": 115, "target": 117, "width": 1}, {"source": 115, "target": 121, "width": 1}, {"source": 115, "target": 122, "width": 1}, {"source": 115, "target": 123, "width": 1}, {"source": 116, "target": 121, "width": 1}, {"source": 116, "target": 122, "width": 1}, {"source": 116, "target": 123, "width": 1}, {"source": 117, "target": 118, "width": 1}, {"source": 117, "target": 119, "width": 1}, {"source": 117, "target": 121, "width": 1}, {"source": 117, "target": 123, "width": 1}, {"source": 120, "target": 124, "width": 1}, {"source": 120, "target": 125, "width": 1}, {"source": 121, "target": 122, "width": 1}, {"source": 121, "target": 123, "width": 1}, {"source": 121, "target": 125, "width": 1}, {"source": 121, "target": 126, "width": 1}, {"source": 121, "target": 127, "width": 1}, {"source": 122, "target": 125, "width": 1}, {"source": 122, "target": 126, "width": 1}, {"source": 122, "target": 127, "width": 1}, {"source": 123, "target": 125, "width": 1}, {"source": 123, "target": 127, "width": 1}, {"source": 125, "target": 126, "width": 1}, {"source": 125, "target": 127, "width": 1}], "nodes": [{"color": 0.38567067895039214, "id": "", "name": "cube0_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube0_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e42.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.955\n\n1.625\n\n0.735\n\n0.83\n\n0.675\n\n1.375\n\n0.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6013857260526189, "id": "", "name": "cube0_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube0_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.181\n\n3.824\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube1_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube1_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube1_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube1_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube2_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube2_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube2_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube2_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.38544389120539924, "id": "", "name": "cube3_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube3_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e32.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e32.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e34\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.406\n\n0.675\n\n0.775\n\n3.5\n\n1.875\n\n2.0\n\n2.063\n\n4.375\n\n5.00001\n\n0.955\n\n1.625\n\n1.25\n\n1.625\n\n0.735\n\n1.183\n\n1.808\n\n1.984\n\n1.875\n\n4.833\n\n1.438\n\n1.24\n\n1.7\n\n1.766\n\n3.6\n\n1.75\n\n0.83\n\n0.675\n\n1.375\n\n0.875\n\n4.033\n\n1.478\n\n5.00001\n\n1.625\n\n1.063\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6375551141043656, "id": "", "name": "cube3_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube3_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.181\n\n0.801\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube4_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube4_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube4_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube4_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube5_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube5_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube5_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube5_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.48408269580021757, "id": "", "name": "cube6_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube6_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e22.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e24.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e58\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.406\n\n1.558\n\n1.038\n\n1.083\n\n0.775\n\n1.875\n\n2.0\n\n0.875\n\n2.063\n\n4.375\n\n5.00001\n\n1.156\n\n1.625\n\n1.25\n\n1.792\n\n0.9\n\n0.55\n\n5.00001\n\n2.214\n\n2.318\n\n0.839\n\n0.958\n\n1.625\n\n1.808\n\n1.523\n\n1.984\n\n1.875\n\n4.833\n\n1.438\n\n1.24\n\n2.0\n\n1.719\n\n1.278\n\n1.766\n\n2.833\n\n3.6\n\n1.533\n\n1.695\n\n1.545\n\n1.75\n\n0.875\n\n0.713\n\n1.15\n\n1.32\n\n1.478\n\n1.571\n\n0.425\n\n2.25\n\n5.00001\n\n0.675\n\n4.2\n\n0.342\n\n1.625\n\n0.14999\n\n0.991\n\n0.713\n\n0.889\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6395062372580663, "id": "", "name": "cube6_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube6_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e61.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n1.413\n\n2.592\n\n0.801\n\n0.669\n\n2.538\n\n2.552\n\n1.535\n\n2.265\n\n1.631\n\n0.847\n\n1.875\n\n2.954\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.07834681912883376, "id": "", "name": "cube7_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube7_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.16299239304229857, "id": "", "name": "cube7_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube7_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.16299239304229857, "id": "", "name": "cube8_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube8_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8076457192693445, "id": "", "name": "cube8_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube8_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5684256073991526, "id": "", "name": "cube11_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube11_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e72\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.214\n\n1.083\n\n0.875\n\n1.26\n\n0.856\n\n1.446\n\n1.792\n\n0.786\n\n0.6\n\n0.325\n\n0.3\n\n0.9\n\n1.625\n\n0.55\n\n1.795\n\n1.646\n\n2.214\n\n1.955\n\n0.875\n\n1.375\n\n0.839\n\n0.958\n\n1.625\n\n1.741\n\n1.719\n\n1.278\n\n2.833\n\n2.132\n\n1.533\n\n1.469\n\n1.695\n\n1.545\n\n1.393\n\n1.413\n\n1.265\n\n1.938\n\n1.438\n\n1.452\n\n2.444\n\n1.434\n\n0.9\n\n2.592\n\n0.713\n\n0.8\n\n0.713\n\n1.676\n\n0.875\n\n0.89\n\n2.265\n\n1.828\n\n1.32\n\n1.571\n\n1.526\n\n1.339\n\n2.25\n\n5.00001\n\n3.5\n\n5.00001\n\n0.675\n\n4.0\n\n4.2\n\n0.342\n\n2.954\n\n1.892\n\n0.567\n\n0.14999\n\n0.413\n\n0.875\n\n0.991\n\n0.713\n\n0.889\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5537772707451472, "id": "", "name": "cube11_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube11_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e4.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e27.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e45.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e4.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e22\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n3.134\n\n1.531\n\n5.00001\n\n1.221\n\n2.44\n\n1.489\n\n1.375\n\n1.364\n\n3.417\n\n1.585\n\n2.313\n\n0.669\n\n1.352\n\n2.538\n\n2.552\n\n2.309\n\n1.372\n\n1.535\n\n0.924\n\n0.908\n\n1.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2779785842337323, "id": "", "name": "cube12_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube12_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e60.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e40.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.75\n\n5.00001\n\n1.031\n\n3.417\n\n1.585\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6830030524734726, "id": "", "name": "cube12_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube12_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n2.393\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6830030524734726, "id": "", "name": "cube13_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube13_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n2.393\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8483453655700373, "id": "", "name": "cube13_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube13_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5177818692766123, "id": "", "name": "cube14_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube14_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.546\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8483453655700373, "id": "", "name": "cube14_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube14_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5911623625175638, "id": "", "name": "cube15_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube15_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6729977227578856, "id": "", "name": "cube15_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube15_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.475031526511734, "id": "", "name": "cube17_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube17_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e20.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e2.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e1.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e74\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.214\n\n4.324\n\n5.00001\n\n1.26\n\n0.675\n\n1.5\n\n0.875\n\n0.771\n\n0.761\n\n0.325\n\n0.588\n\n0.538\n\n0.592\n\n0.575\n\n0.3\n\n2.0\n\n1.625\n\n1.347\n\n2.0\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.825\n\n3.5\n\n1.795\n\n5.00001\n\n2.409\n\n1.646\n\n1.607\n\n1.3\n\n0.875\n\n1.375\n\n5.00001\n\n1.456\n\n1.741\n\n1.792\n\n1.583\n\n1.393\n\n1.188\n\n1.938\n\n1.438\n\n1.115\n\n1.25\n\n1.611\n\n0.9\n\n2.205\n\n2.313\n\n0.8\n\n3.15\n\n0.41\n\n0.425\n\n0.713\n\n1.676\n\n1.655\n\n0.875\n\n0.89\n\n1.76\n\n1.828\n\n1.339\n\n1.286\n\n3.5\n\n5.00001\n\n1.313\n\n4.0\n\n0.904\n\n0.889\n\n0.66\n\n0.413\n\n0.875\n\n0.821\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5714647772887029, "id": "", "name": "cube17_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube17_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:8.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e30.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e46.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:8.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e26\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n3.134\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.505\n\n0.785\n\n1.489\n\n1.375\n\n1.364\n\n2.85\n\n3.417\n\n1.585\n\n2.388\n\n3.531\n\n1.625\n\n1.104\n\n1.352\n\n1.625\n\n1.372\n\n1.245\n\n0.924\n\n0.908\n\n0.89\n\n0.863\n\n4.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5586618645390873, "id": "", "name": "cube18_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube18_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e22.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e22.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e9\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.75\n\n1.219\n\n5.00001\n\n2.393\n\n0.535\n\n3.0\n\n1.313\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6091925480885703, "id": "", "name": "cube18_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube18_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e8\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.505\n\n0.785\n\n3.417\n\n1.585\n\n2.388\n\n3.531\n\n1.625\n\n1.625\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7271104866191838, "id": "", "name": "cube19_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube19_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e6\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.219\n\n2.393\n\n0.375\n\n1.313\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6673288434517176, "id": "", "name": "cube19_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube19_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.634\n\n0.225\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6673288434517176, "id": "", "name": "cube20_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube20_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.634\n\n0.225\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5911623625175638, "id": "", "name": "cube20_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube20_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4959313378419706, "id": "", "name": "cube25_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube25_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e93\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.625\n\n2.25\n\n4.324\n\n5.00001\n\n1.368\n\n0.675\n\n0.741\n\n0.875\n\n0.367\n\n0.771\n\n0.761\n\n1.356\n\n0.938\n\n0.875\n\n0.543\n\n0.588\n\n0.538\n\n0.592\n\n0.25\n\n1.347\n\n1.125\n\n2.0\n\n5.00001\n\n1.125\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.607\n\n1.3\n\n5.00001\n\n1.456\n\n5.00001\n\n1.583\n\n3.125\n\n1.188\n\n1.115\n\n2.143\n\n5.00001\n\n1.247\n\n3.15\n\n0.4\n\n0.75\n\n0.425\n\n0.478\n\n0.41\n\n0.425\n\n1.033\n\n1.5\n\n1.897\n\n1.76\n\n1.33\n\n0.55\n\n1.375\n\n1.875\n\n5.00001\n\n1.188\n\n2.307\n\n2.75\n\n1.0\n\n5.00001\n\n5.00001\n\n2.25\n\n1.172\n\n2.81\n\n5.00001\n\n5.00001\n\n2.25\n\n5.00001\n\n1.313\n\n0.71\n\n0.666\n\n1.625\n\n0.904\n\n0.889\n\n0.66\n\n0.375\n\n1.375\n\n5.00001\n\n0.525\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5714787538155919, "id": "", "name": "cube25_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube25_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e39.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e28\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.115\n\n2.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.954\n\n1.625\n\n0.884\n\n1.622\n\n2.356\n\n1.452\n\n2.85\n\n2.388\n\n3.531\n\n1.625\n\n0.674\n\n0.513\n\n1.104\n\n1.625\n\n1.245\n\n1.114\n\n0.89\n\n0.863\n\n2.25\n\n4.5\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6040748098260574, "id": "", "name": "cube26_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube26_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e37.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e8\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n5.00001\n\n1.872\n\n1.945\n\n1.533\n\n4.504\n\n0.63\n\n3.43\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6120403120306218, "id": "", "name": "cube26_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube26_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e30.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e10\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.125\n\n4.954\n\n1.622\n\n1.452\n\n2.388\n\n3.531\n\n1.625\n\n0.513\n\n1.625\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.651552885314211, "id": "", "name": "cube27_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube27_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.357\n\n1.872\n\n0.225\n\n4.504\n\n0.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7594844711468579, "id": "", "name": "cube27_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube27_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.533\n\n0.63\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7002398372014148, "id": "", "name": "cube28_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube28_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.977\n\n2.289\n\n2.609\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6729492707980038, "id": "", "name": "cube28_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube28_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.225\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5018007978422727, "id": "", "name": "cube29_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube29_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n4.511\n\n1.185\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.737923348999467, "id": "", "name": "cube29_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube29_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.289\n\n2.609\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5177818692766123, "id": "", "name": "cube30_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube30_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n4.511\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4698386549735937, "id": "", "name": "cube30_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube30_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.185\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5091188137190287, "id": "", "name": "cube33_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube33_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e16.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:24.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:92.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e219\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.75\n\n0.979\n\n1.115\n\n1.235\n\n4.614\n\n5.00001\n\n5.00001\n\n0.675\n\n1.734\n\n0.993\n\n1.625\n\n1.214\n\n0.475\n\n0.45\n\n0.805\n\n0.769\n\n0.755\n\n0.675\n\n0.747\n\n0.741\n\n0.75\n\n1.011\n\n1.058\n\n0.508\n\n0.367\n\n1.656\n\n0.581\n\n0.55\n\n0.713\n\n1.356\n\n0.707\n\n0.768\n\n0.875\n\n0.938\n\n0.875\n\n1.425\n\n0.513\n\n0.439\n\n0.575\n\n0.543\n\n0.25\n\n0.329\n\n0.675\n\n0.475\n\n1.083\n\n2.005\n\n0.969\n\n0.966\n\n1.125\n\n0.679\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n5.00001\n\n5.00001\n\n2.0\n\n5.00001\n\n4.958\n\n0.875\n\n1.148\n\n2.427\n\n2.75\n\n3.988\n\n4.676\n\n3.314\n\n5.00001\n\n4.87\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.938\n\n1.469\n\n1.635\n\n1.238\n\n1.25\n\n3.125\n\n1.305\n\n0.888\n\n0.75\n\n1.125\n\n2.143\n\n0.884\n\n1.304\n\n0.975\n\n5.00001\n\n1.778\n\n1.247\n\n0.967\n\n0.275\n\n2.75\n\n1.375\n\n0.675\n\n1.125\n\n0.938\n\n3.5\n\n5.00001\n\n0.75\n\n2.5\n\n3.818\n\n0.75\n\n0.75\n\n0.669\n\n0.5\n\n0.965\n\n1.286\n\n1.324\n\n1.441\n\n1.33\n\n1.114\n\n0.55\n\n5.00001\n\n1.375\n\n1.625\n\n1.875\n\n1.125\n\n2.125\n\n1.938\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.776\n\n1.25\n\n0.475\n\n1.188\n\n5.00001\n\n2.307\n\n2.75\n\n1.482\n\n1.981\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n0.225\n\n0.425\n\n0.425\n\n1.172\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.125\n\n4.167\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n1.125\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.9\n\n1.375\n\n0.658\n\n0.666\n\n0.961\n\n0.633\n\n1.292\n\n1.2\n\n1.625\n\n1.021\n\n0.813\n\n0.75\n\n0.792\n\n0.792\n\n0.488\n\n0.8\n\n1.165\n\n2.625\n\n5.00001\n\n0.525\n\n5.00001\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5699794348348058, "id": "", "name": "cube33_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube33_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e36\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.732\n\n1.395\n\n0.788\n\n1.194\n\n1.684\n\n0.495\n\n5.00001\n\n5.00001\n\n2.125\n\n5.00001\n\n3.59\n\n4.841\n\n4.954\n\n5.00001\n\n1.625\n\n1.156\n\n1.622\n\n2.581\n\n2.924\n\n0.674\n\n1.611\n\n0.906\n\n4.361\n\n4.785\n\n5.00001\n\n0.987\n\n1.625\n\n1.118\n\n1.543\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.0\n\n1.158\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.651371997997319, "id": "", "name": "cube34_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube34_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e26.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e15\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.409\n\n3.523\n\n5.00001\n\n1.11\n\n1.872\n\n1.6\n\n2.225\n\n1.917\n\n1.533\n\n2.25\n\n1.875\n\n3.43\n\n5.00001\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5877464993458985, "id": "", "name": "cube34_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube34_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e5.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e20\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.684\n\n0.495\n\n5.00001\n\n2.125\n\n5.00001\n\n4.841\n\n4.954\n\n5.00001\n\n1.156\n\n1.622\n\n2.581\n\n2.924\n\n0.906\n\n4.361\n\n4.785\n\n1.118\n\n1.543\n\n5.00001\n\n1.158\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5835519439618475, "id": "", "name": "cube35_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube35_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e35.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.724\n\n1.063\n\n3.587\n\n2.208\n\n1.569\n\n2.808\n\n3.225\n\n2.334\n\n2.611\n\n2.465\n\n1.001\n\n2.252\n\n1.429\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6213652377952974, "id": "", "name": "cube35_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube35_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.409\n\n1.357\n\n1.708\n\n1.11\n\n1.872\n\n2.579\n\n0.74\n\n2.225\n\n1.917\n\n1.739\n\n1.533\n\n2.25\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5835519439618475, "id": "", "name": "cube36_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube36_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e35.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.724\n\n1.063\n\n3.587\n\n2.208\n\n1.569\n\n2.808\n\n3.225\n\n2.334\n\n2.611\n\n2.465\n\n1.001\n\n2.252\n\n1.429\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6422642718974907, "id": "", "name": "cube36_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube36_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e53.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.683\n\n1.693\n\n1.034\n\n1.606\n\n1.977\n\n1.43\n\n2.289\n\n1.911\n\n1.513\n\n1.306\n\n2.103\n\n2.292\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6005066690661922, "id": "", "name": "cube37_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube37_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e57.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.683\n\n1.034\n\n1.43\n\n2.289\n\n1.911\n\n1.306\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7365828447760713, "id": "", "name": "cube37_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube37_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.185\n\n2.449\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2939095886428606, "id": "", "name": "cube38_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube38_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.397\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6223896506613693, "id": "", "name": "cube38_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube38_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.992\n\n1.185\n\n2.123\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2939095886428606, "id": "", "name": "cube39_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube39_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.397\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5680507776539562, "id": "", "name": "cube39_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube39_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.663\n\n1.537\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.49949125442124137, "id": "", "name": "cube40_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube40_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.663\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6366103008866709, "id": "", "name": "cube40_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube40_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.537\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.46723370576103346, "id": "", "name": "cube41_cluster0", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube41_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e24.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:6.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e1.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e406\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.6\n\n0.675\n\n5.00001\n\n3.926\n\n4.103\n\n3.97\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.375\n\n4.0\n\n1.176\n\n0.979\n\n1.117\n\n1.235\n\n1.125\n\n4.614\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.042\n\n0.675\n\n1.094\n\n0.858\n\n0.732\n\n1.224\n\n0.75\n\n1.036\n\n1.527\n\n1.167\n\n0.711\n\n1.734\n\n0.846\n\n1.072\n\n0.993\n\n1.078\n\n1.625\n\n1.276\n\n1.214\n\n1.177\n\n0.875\n\n0.433\n\n0.75\n\n0.45\n\n0.14999\n\n0.805\n\n0.769\n\n0.625\n\n0.927\n\n0.854\n\n0.683\n\n0.7\n\n0.705\n\n0.646\n\n0.705\n\n0.82\n\n0.702\n\n0.722\n\n0.67\n\n1.161\n\n0.828\n\n0.726\n\n0.741\n\n0.747\n\n0.81\n\n1.042\n\n0.818\n\n0.906\n\n0.961\n\n0.992\n\n1.011\n\n1.058\n\n0.575\n\n0.741\n\n0.508\n\n0.788\n\n0.798\n\n0.5\n\n0.592\n\n0.627\n\n0.838\n\n0.628\n\n1.194\n\n1.434\n\n0.979\n\n0.756\n\n0.842\n\n0.755\n\n0.902\n\n1.656\n\n0.784\n\n1.118\n\n1.306\n\n0.581\n\n0.79\n\n0.921\n\n0.851\n\n0.668\n\n0.973\n\n0.926\n\n0.948\n\n0.55\n\n0.713\n\n1.114\n\n1.067\n\n0.946\n\n0.707\n\n0.74\n\n0.768\n\n1.019\n\n0.875\n\n1.0\n\n0.536\n\n0.644\n\n0.813\n\n0.513\n\n0.439\n\n0.628\n\n0.628\n\n0.544\n\n0.538\n\n0.475\n\n0.329\n\n0.6\n\n0.675\n\n0.6\n\n2.75\n\n0.95\n\n1.083\n\n0.89\n\n0.697\n\n1.125\n\n1.115\n\n1.094\n\n1.097\n\n2.005\n\n0.966\n\n0.679\n\n0.4\n\n5.00001\n\n4.831\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n0.906\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n4.5\n\n2.143\n\n5.00001\n\n2.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.458\n\n1.5\n\n1.656\n\n0.609\n\n0.875\n\n0.972\n\n0.475\n\n0.561\n\n2.427\n\n1.698\n\n0.729\n\n1.625\n\n1.667\n\n2.75\n\n0.906\n\n1.163\n\n1.381\n\n4.676\n\n5.00001\n\n4.87\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.926\n\n1.653\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.625\n\n5.00001\n\n5.00001\n\n1.938\n\n1.469\n\n1.969\n\n1.635\n\n1.305\n\n0.888\n\n0.75\n\n0.894\n\n1.134\n\n1.125\n\n1.938\n\n4.656\n\n5.00001\n\n1.475\n\n0.55\n\n1.0\n\n1.635\n\n0.766\n\n0.81\n\n5.00001\n\n2.321\n\n1.346\n\n0.975\n\n0.967\n\n1.125\n\n3.667\n\n0.275\n\n0.857\n\n0.734\n\n2.75\n\n1.375\n\n1.875\n\n0.938\n\n0.879\n\n1.681\n\n4.058\n\n1.125\n\n5.00001\n\n2.75\n\n0.75\n\n2.5\n\n3.818\n\n1.769\n\n0.658\n\n0.669\n\n0.5\n\n1.336\n\n0.965\n\n1.176\n\n1.441\n\n1.719\n\n1.239\n\n1.084\n\n0.533\n\n4.596\n\n5.00001\n\n1.375\n\n1.5\n\n0.938\n\n0.875\n\n0.865\n\n1.625\n\n1.375\n\n1.625\n\n0.225\n\n2.5\n\n1.167\n\n1.125\n\n1.125\n\n3.0\n\n3.457\n\n2.125\n\n1.938\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n0.475\n\n0.6\n\n3.423\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.447\n\n3.133\n\n4.192\n\n2.813\n\n1.375\n\n1.344\n\n1.482\n\n1.938\n\n1.764\n\n0.588\n\n2.406\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.75\n\n0.225\n\n0.675\n\n0.55\n\n2.402\n\n0.425\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.844\n\n2.125\n\n3.029\n\n4.167\n\n5.00001\n\n5.00001\n\n1.125\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.9\n\n3.0\n\n1.232\n\n0.658\n\n0.788\n\n1.078\n\n0.804\n\n0.924\n\n0.961\n\n0.646\n\n0.654\n\n0.633\n\n0.719\n\n0.575\n\n1.665\n\n1.292\n\n1.2\n\n1.183\n\n1.171\n\n1.313\n\n2.326\n\n1.75\n\n0.75\n\n1.875\n\n0.825\n\n1.125\n\n0.798\n\n0.717\n\n0.792\n\n0.55\n\n0.65\n\n0.488\n\n0.645\n\n0.675\n\n1.165\n\n1.625\n\n2.625\n\n2.75\n\n5.00001\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.48611442718400133, "id": "", "name": "cube41_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube41_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e15.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e83\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n4.251\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n0.684\n\n0.746\n\n0.783\n\n0.669\n\n0.695\n\n3.459\n\n0.551\n\n0.981\n\n0.811\n\n0.926\n\n1.395\n\n1.113\n\n0.901\n\n0.677\n\n1.684\n\n0.908\n\n0.495\n\n5.00001\n\n3.5\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.238\n\n1.218\n\n1.719\n\n5.00001\n\n5.00001\n\n1.597\n\n4.601\n\n3.02\n\n4.538\n\n5.00001\n\n5.00001\n\n1.232\n\n1.517\n\n4.771\n\n4.777\n\n1.773\n\n2.302\n\n1.156\n\n1.839\n\n1.151\n\n2.581\n\n1.058\n\n1.625\n\n2.924\n\n1.833\n\n1.611\n\n2.188\n\n1.236\n\n0.675\n\n4.293\n\n5.00001\n\n2.438\n\n5.00001\n\n1.245\n\n1.625\n\n1.625\n\n1.118\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.028\n\n2.837\n\n1.629\n\n2.316\n\n5.00001\n\n1.114\n\n0.62\n\n0.796\n\n0.56\n\n3.052\n\n1.238\n\n1.158\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5715347042930744, "id": "", "name": "cube42_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube42_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e42\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.183\n\n3.409\n\n2.289\n\n0.608\n\n0.556\n\n0.884\n\n5.00001\n\n5.00001\n\n3.523\n\n0.479\n\n4.153\n\n1.641\n\n1.11\n\n4.815\n\n1.6\n\n2.173\n\n3.152\n\n1.878\n\n1.527\n\n1.345\n\n1.993\n\n0.95\n\n0.664\n\n0.659\n\n2.732\n\n3.431\n\n1.917\n\n1.492\n\n0.656\n\n2.606\n\n2.75\n\n2.25\n\n5.00001\n\n2.081\n\n1.875\n\n1.279\n\n1.822\n\n1.786\n\n4.734\n\n4.5\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5126524986983343, "id": "", "name": "cube42_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube42_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:15.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:15.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e63\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n2.729\n\n0.684\n\n0.669\n\n0.551\n\n0.981\n\n0.926\n\n0.901\n\n0.677\n\n1.684\n\n0.495\n\n5.00001\n\n3.5\n\n5.00001\n\n3.5\n\n5.00001\n\n1.238\n\n1.218\n\n5.00001\n\n1.597\n\n3.02\n\n4.538\n\n5.00001\n\n5.00001\n\n1.232\n\n1.517\n\n1.375\n\n4.771\n\n4.777\n\n1.773\n\n2.302\n\n1.156\n\n1.151\n\n2.581\n\n1.058\n\n1.625\n\n2.924\n\n1.833\n\n1.236\n\n0.675\n\n2.438\n\n5.00001\n\n1.063\n\n1.245\n\n1.625\n\n1.118\n\n5.00001\n\n5.00001\n\n2.028\n\n2.837\n\n1.629\n\n5.00001\n\n1.114\n\n0.796\n\n0.56\n\n3.052\n\n1.238\n\n1.158\n\n4.258\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5641483760518113, "id": "", "name": "cube43_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube43_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e2.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e20.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e48\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.735\n\n1.531\n\n2.137\n\n2.724\n\n1.063\n\n2.375\n\n0.7\n\n3.491\n\n3.587\n\n3.489\n\n1.923\n\n1.927\n\n5.00001\n\n5.00001\n\n2.362\n\n2.363\n\n3.209\n\n1.689\n\n2.208\n\n1.272\n\n1.873\n\n0.909\n\n1.296\n\n1.459\n\n1.818\n\n1.739\n\n1.221\n\n1.569\n\n2.05\n\n2.808\n\n2.107\n\n3.225\n\n2.334\n\n2.297\n\n3.083\n\n2.611\n\n2.465\n\n1.841\n\n2.327\n\n1.934\n\n3.75\n\n1.001\n\n2.252\n\n1.429\n\n3.576\n\n3.081\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5601915356096845, "id": "", "name": "cube43_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube43_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e3.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e17.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e31.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e29\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.183\n\n3.409\n\n2.289\n\n0.608\n\n0.556\n\n2.224\n\n0.479\n\n4.153\n\n1.641\n\n1.11\n\n2.173\n\n1.878\n\n1.527\n\n1.993\n\n0.95\n\n0.74\n\n0.991\n\n3.431\n\n1.917\n\n1.473\n\n1.492\n\n0.656\n\n2.606\n\n2.25\n\n5.00001\n\n1.279\n\n1.822\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5575222698609225, "id": "", "name": "cube44_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube44_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e2.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e17.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e19.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e47\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.735\n\n1.531\n\n2.137\n\n2.724\n\n1.063\n\n2.375\n\n0.7\n\n3.491\n\n3.587\n\n3.489\n\n1.923\n\n1.927\n\n5.00001\n\n1.418\n\n2.362\n\n2.363\n\n3.209\n\n1.689\n\n1.693\n\n2.208\n\n1.951\n\n1.272\n\n1.873\n\n1.296\n\n1.459\n\n1.818\n\n1.221\n\n1.569\n\n2.808\n\n2.107\n\n3.225\n\n2.334\n\n2.297\n\n3.083\n\n2.611\n\n2.465\n\n1.841\n\n2.327\n\n2.865\n\n3.75\n\n1.001\n\n2.252\n\n2.292\n\n1.429\n\n3.081\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5077829998223428, "id": "", "name": "cube44_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube44_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e15\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.107\n\n3.156\n\n3.683\n\n3.625\n\n1.545\n\n3.185\n\n1.946\n\n2.651\n\n1.034\n\n1.606\n\n1.309\n\n1.306\n\n2.155\n\n1.985\n\n2.103\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5077951749302105, "id": "", "name": "cube45_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube45_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e30.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.156\n\n3.683\n\n3.625\n\n3.185\n\n1.44\n\n1.946\n\n2.651\n\n1.034\n\n1.309\n\n1.306\n\n2.896\n\n1.985\n\n2.449\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7276515335045303, "id": "", "name": "cube45_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube45_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.122\n\n0.283\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5918406899559088, "id": "", "name": "cube46_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube46_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.123\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7276515335045303, "id": "", "name": "cube46_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube46_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.122\n\n0.283\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4874581100772469, "id": "", "name": "cube48_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube48_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e23.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e605\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.6\n\n0.761\n\n1.188\n\n1.625\n\n3.926\n\n4.103\n\n0.75\n\n4.305\n\n3.97\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.6\n\n4.758\n\n4.0\n\n1.176\n\n1.209\n\n1.117\n\n0.948\n\n1.125\n\n0.69\n\n0.55\n\n0.625\n\n0.795\n\n0.583\n\n0.517\n\n0.425\n\n0.864\n\n1.137\n\n0.688\n\n1.125\n\n0.875\n\n4.261\n\n0.994\n\n5.00001\n\n5.00001\n\n1.094\n\n0.858\n\n1.059\n\n1.036\n\n1.527\n\n2.125\n\n0.846\n\n1.072\n\n1.185\n\n1.019\n\n1.347\n\n1.276\n\n1.097\n\n1.177\n\n1.188\n\n1.132\n\n0.98\n\n0.433\n\n2.292\n\n1.134\n\n0.625\n\n0.683\n\n0.7\n\n0.705\n\n0.646\n\n0.705\n\n0.82\n\n0.856\n\n0.813\n\n0.702\n\n0.722\n\n0.67\n\n1.161\n\n0.828\n\n0.69\n\n0.726\n\n0.81\n\n1.042\n\n0.818\n\n0.906\n\n0.864\n\n0.928\n\n0.9\n\n0.961\n\n0.869\n\n0.811\n\n0.83\n\n0.928\n\n1.43\n\n1.339\n\n0.992\n\n0.741\n\n0.821\n\n1.36\n\n0.798\n\n0.5\n\n0.592\n\n0.628\n\n0.979\n\n1.027\n\n0.988\n\n0.756\n\n0.842\n\n1.063\n\n0.755\n\n0.96\n\n0.817\n\n0.996\n\n0.736\n\n0.701\n\n1.269\n\n0.784\n\n1.197\n\n1.118\n\n1.289\n\n1.005\n\n1.306\n\n0.79\n\n1.07\n\n0.864\n\n0.921\n\n0.851\n\n0.796\n\n1.281\n\n0.668\n\n0.952\n\n0.973\n\n0.926\n\n0.925\n\n0.751\n\n0.741\n\n0.948\n\n0.723\n\n0.575\n\n0.705\n\n1.114\n\n1.067\n\n0.946\n\n0.543\n\n0.824\n\n1.015\n\n1.019\n\n0.4\n\n0.725\n\n0.675\n\n1.0\n\n1.125\n\n0.536\n\n0.686\n\n0.694\n\n0.681\n\n0.644\n\n0.944\n\n0.958\n\n0.813\n\n0.628\n\n0.675\n\n0.544\n\n0.538\n\n0.475\n\n0.5\n\n0.45\n\n0.44\n\n0.6\n\n0.425\n\n0.475\n\n0.784\n\n1.375\n\n1.0\n\n0.725\n\n0.683\n\n0.95\n\n0.958\n\n0.788\n\n0.947\n\n0.89\n\n0.697\n\n1.115\n\n0.724\n\n1.094\n\n0.773\n\n0.49\n\n1.142\n\n1.0\n\n1.321\n\n0.875\n\n0.481\n\n0.592\n\n0.702\n\n1.743\n\n5.00001\n\n4.831\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.357\n\n1.568\n\n2.25\n\n2.75\n\n3.125\n\n0.388\n\n1.583\n\n1.275\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n1.875\n\n1.125\n\n1.469\n\n5.00001\n\n4.062\n\n1.875\n\n1.625\n\n5.00001\n\n1.333\n\n1.363\n\n1.313\n\n4.833\n\n5.00001\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.99\n\n1.054\n\n0.974\n\n1.375\n\n1.042\n\n2.0\n\n3.0\n\n4.5\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.375\n\n4.5\n\n1.917\n\n2.143\n\n2.313\n\n2.125\n\n3.167\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.1\n\n5.00001\n\n2.615\n\n0.792\n\n0.698\n\n1.458\n\n1.0\n\n1.104\n\n0.95\n\n1.5\n\n2.25\n\n1.656\n\n0.609\n\n0.972\n\n0.44\n\n0.575\n\n0.691\n\n0.475\n\n0.526\n\n1.698\n\n1.889\n\n1.625\n\n1.125\n\n0.729\n\n1.469\n\n2.0\n\n4.528\n\n5.00001\n\n5.0\n\n1.469\n\n3.25\n\n1.667\n\n1.528\n\n0.906\n\n0.857\n\n1.163\n\n1.381\n\n2.083\n\n4.543\n\n4.17\n\n5.00001\n\n3.887\n\n3.48\n\n4.474\n\n3.782\n\n5.00001\n\n3.089\n\n5.00001\n\n4.93\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.926\n\n1.653\n\n1.59\n\n1.544\n\n1.58\n\n4.872\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.569\n\n1.625\n\n4.628\n\n1.458\n\n1.969\n\n1.365\n\n2.18\n\n0.882\n\n0.894\n\n1.134\n\n1.938\n\n4.656\n\n4.933\n\n5.00001\n\n1.475\n\n0.55\n\n1.635\n\n0.5\n\n0.766\n\n5.00001\n\n3.219\n\n3.016\n\n2.481\n\n2.321\n\n1.346\n\n0.55\n\n1.383\n\n1.375\n\n1.674\n\n0.5\n\n1.125\n\n3.667\n\n0.689\n\n0.614\n\n0.717\n\n0.857\n\n0.734\n\n1.688\n\n1.375\n\n1.417\n\n1.875\n\n0.938\n\n0.879\n\n1.681\n\n1.575\n\n1.375\n\n4.058\n\n0.654\n\n0.675\n\n0.821\n\n1.125\n\n1.884\n\n2.625\n\n0.731\n\n1.644\n\n1.313\n\n0.658\n\n0.691\n\n0.486\n\n0.868\n\n1.175\n\n4.596\n\n2.896\n\n1.375\n\n2.25\n\n2.042\n\n1.5\n\n3.314\n\n1.655\n\n0.865\n\n0.938\n\n0.756\n\n1.113\n\n0.911\n\n0.72\n\n0.9\n\n0.875\n\n0.225\n\n2.05\n\n2.0\n\n2.25\n\n1.167\n\n2.625\n\n1.958\n\n4.188\n\n1.625\n\n3.0\n\n3.345\n\n3.457\n\n3.452\n\n1.938\n\n5.00001\n\n5.00001\n\n0.675\n\n1.313\n\n3.913\n\n0.675\n\n0.6\n\n0.833\n\n2.817\n\n1.542\n\n3.423\n\n1.211\n\n1.482\n\n1.676\n\n1.446\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.447\n\n3.133\n\n4.192\n\n2.589\n\n2.0\n\n4.441\n\n0.837\n\n0.588\n\n1.107\n\n0.618\n\n2.406\n\n5.00001\n\n2.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.75\n\n1.875\n\n3.5\n\n1.125\n\n1.625\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.875\n\n0.52\n\n0.675\n\n0.55\n\n0.54\n\n2.42\n\n1.5\n\n1.375\n\n2.402\n\n2.151\n\n1.967\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.7\n\n5.00001\n\n5.00001\n\n4.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n2.861\n\n5.00001\n\n5.00001\n\n1.292\n\n2.0\n\n3.029\n\n1.125\n\n5.00001\n\n1.875\n\n3.679\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n2.583\n\n1.166\n\n5.00001\n\n0.689\n\n0.769\n\n0.726\n\n0.875\n\n0.844\n\n1.516\n\n1.142\n\n1.465\n\n0.773\n\n0.566\n\n0.758\n\n0.481\n\n1.232\n\n0.788\n\n1.078\n\n0.656\n\n0.875\n\n0.804\n\n0.774\n\n0.903\n\n0.924\n\n0.686\n\n0.535\n\n0.646\n\n0.544\n\n0.654\n\n0.701\n\n0.813\n\n0.632\n\n0.942\n\n0.462\n\n0.531\n\n0.801\n\n0.719\n\n0.655\n\n1.094\n\n1.625\n\n0.786\n\n1.665\n\n2.553\n\n2.583\n\n1.5\n\n1.621\n\n1.183\n\n1.327\n\n0.987\n\n1.171\n\n1.393\n\n1.333\n\n1.313\n\n2.326\n\n1.125\n\n3.648\n\n1.975\n\n1.5\n\n1.271\n\n1.875\n\n0.825\n\n2.75\n\n1.125\n\n0.675\n\n0.727\n\n0.798\n\n0.519\n\n0.717\n\n0.942\n\n0.847\n\n0.55\n\n0.645\n\n0.675\n\n0.43\n\n0.875\n\n1.046\n\n1.362\n\n1.625\n\n2.75\n\n2.438\n\n2.75\n\n2.25\n\n0.579\n\n0.775\n\n0.72\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5000134281145958, "id": "", "name": "cube48_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube48_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e16.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:82.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e175\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.181\n\n3.714\n\n3.5\n\n2.536\n\n1.438\n\n2.0\n\n5.00001\n\n0.652\n\n1.33\n\n4.034\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.783\n\n0.669\n\n0.695\n\n3.459\n\n0.694\n\n1.125\n\n0.996\n\n1.006\n\n0.981\n\n0.811\n\n0.926\n\n1.113\n\n1.199\n\n0.901\n\n0.768\n\n0.699\n\n0.64\n\n0.701\n\n0.727\n\n0.677\n\n0.561\n\n2.458\n\n0.908\n\n1.426\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.936\n\n1.531\n\n0.938\n\n3.5\n\n2.75\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n1.488\n\n5.00001\n\n1.238\n\n1.218\n\n1.833\n\n1.719\n\n1.475\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.295\n\n5.00001\n\n0.604\n\n0.762\n\n1.597\n\n4.601\n\n5.00001\n\n3.14\n\n4.137\n\n3.576\n\n3.02\n\n5.00001\n\n2.79\n\n3.861\n\n5.00001\n\n5.00001\n\n1.232\n\n1.802\n\n1.517\n\n1.625\n\n4.777\n\n1.55\n\n1.773\n\n4.29\n\n0.704\n\n1.109\n\n1.839\n\n1.058\n\n0.606\n\n0.654\n\n0.586\n\n1.0\n\n1.625\n\n1.818\n\n1.572\n\n0.979\n\n1.577\n\n2.188\n\n0.831\n\n3.458\n\n4.676\n\n1.236\n\n1.276\n\n1.25\n\n2.478\n\n3.874\n\n3.783\n\n3.003\n\n2.438\n\n5.00001\n\n2.25\n\n5.00001\n\n4.184\n\n2.75\n\n3.134\n\n0.525\n\n1.625\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.728\n\n2.837\n\n1.601\n\n1.629\n\n1.736\n\n2.059\n\n3.356\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.592\n\n1.514\n\n0.782\n\n1.201\n\n1.05\n\n1.114\n\n0.435\n\n0.44\n\n0.586\n\n0.62\n\n0.557\n\n0.796\n\n0.811\n\n0.761\n\n1.101\n\n0.56\n\n0.629\n\n1.711\n\n0.875\n\n2.051\n\n2.25\n\n0.912\n\n1.238\n\n0.506\n\n1.941\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5398774771064488, "id": "", "name": "cube49_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube49_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e17.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e96\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.3\n\n3.183\n\n3.898\n\n3.137\n\n0.988\n\n3.677\n\n3.692\n\n3.567\n\n0.556\n\n0.647\n\n1.437\n\n1.408\n\n0.569\n\n0.884\n\n2.139\n\n5.00001\n\n5.00001\n\n1.625\n\n1.875\n\n5.00001\n\n1.162\n\n4.025\n\n1.272\n\n1.514\n\n5.00001\n\n1.642\n\n1.482\n\n1.319\n\n1.402\n\n5.00001\n\n4.72\n\n5.00001\n\n2.044\n\n1.513\n\n0.479\n\n1.005\n\n3.653\n\n1.625\n\n1.485\n\n2.223\n\n2.878\n\n2.173\n\n1.526\n\n0.744\n\n0.666\n\n1.425\n\n1.319\n\n1.213\n\n1.993\n\n0.95\n\n0.9\n\n0.664\n\n0.659\n\n1.293\n\n1.896\n\n2.732\n\n1.125\n\n3.614\n\n2.317\n\n1.492\n\n1.038\n\n0.78\n\n0.668\n\n0.656\n\n1.668\n\n1.891\n\n2.606\n\n1.444\n\n2.939\n\n3.149\n\n2.962\n\n4.113\n\n1.175\n\n3.53\n\n2.21\n\n2.75\n\n2.5\n\n1.819\n\n5.00001\n\n1.46\n\n1.707\n\n2.081\n\n1.79\n\n1.822\n\n1.786\n\n4.734\n\n1.506\n\n1.441\n\n1.871\n\n1.81\n\n1.919\n\n3.247\n\n0.958\n\n1.603\n\n4.5\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5138067102530832, "id": "", "name": "cube49_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube49_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:74.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:32.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e127\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.181\n\n3.714\n\n3.5\n\n2.536\n\n1.438\n\n2.0\n\n5.00001\n\n3.365\n\n0.652\n\n1.33\n\n4.034\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.729\n\n0.669\n\n1.125\n\n0.981\n\n0.926\n\n0.901\n\n0.701\n\n0.727\n\n0.677\n\n1.426\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.936\n\n0.938\n\n3.5\n\n2.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.488\n\n1.238\n\n1.218\n\n1.475\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.295\n\n0.604\n\n1.597\n\n3.14\n\n4.137\n\n3.576\n\n3.02\n\n3.861\n\n5.00001\n\n5.00001\n\n1.15\n\n1.232\n\n1.802\n\n1.517\n\n1.635\n\n4.777\n\n1.55\n\n1.773\n\n4.29\n\n1.109\n\n1.058\n\n0.606\n\n0.654\n\n0.586\n\n1.0\n\n1.625\n\n1.818\n\n1.577\n\n0.831\n\n3.458\n\n4.676\n\n1.236\n\n1.276\n\n1.25\n\n1.088\n\n2.478\n\n1.345\n\n3.874\n\n3.003\n\n2.438\n\n5.00001\n\n2.25\n\n5.00001\n\n4.184\n\n3.134\n\n1.063\n\n1.379\n\n1.625\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.728\n\n2.837\n\n1.601\n\n1.629\n\n1.736\n\n2.059\n\n3.356\n\n5.00001\n\n4.592\n\n1.514\n\n0.782\n\n1.201\n\n1.05\n\n1.114\n\n0.44\n\n0.557\n\n0.796\n\n0.811\n\n1.101\n\n0.56\n\n0.629\n\n1.711\n\n0.875\n\n2.051\n\n1.238\n\n0.506\n\n4.258\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5407631956103929, "id": "", "name": "cube50_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube50_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e23.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e17.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e69\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.416\n\n3.183\n\n3.137\n\n0.988\n\n3.692\n\n3.567\n\n0.556\n\n0.647\n\n1.437\n\n1.408\n\n2.139\n\n1.875\n\n1.162\n\n4.025\n\n5.00001\n\n1.642\n\n1.319\n\n5.00001\n\n4.72\n\n5.00001\n\n2.044\n\n2.224\n\n1.513\n\n0.479\n\n1.005\n\n1.625\n\n2.173\n\n1.581\n\n1.526\n\n1.83\n\n0.744\n\n0.666\n\n1.319\n\n1.993\n\n0.95\n\n0.9\n\n1.079\n\n1.293\n\n1.896\n\n1.125\n\n2.317\n\n3.115\n\n1.419\n\n1.41\n\n1.473\n\n1.492\n\n1.038\n\n0.668\n\n0.656\n\n1.891\n\n2.606\n\n1.444\n\n2.939\n\n3.149\n\n2.962\n\n4.113\n\n1.175\n\n3.53\n\n2.21\n\n2.5\n\n5.00001\n\n1.707\n\n1.79\n\n1.822\n\n1.441\n\n1.919\n\n0.958\n\n1.278\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5865450954674215, "id": "", "name": "cube50_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube50_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e21.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e71\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.698\n\n2.782\n\n2.735\n\n2.45\n\n1.775\n\n2.375\n\n0.7\n\n3.491\n\n3.489\n\n1.826\n\n1.668\n\n1.923\n\n1.927\n\n3.547\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.469\n\n2.362\n\n2.377\n\n2.363\n\n3.209\n\n2.953\n\n1.875\n\n1.561\n\n1.689\n\n3.403\n\n1.983\n\n1.444\n\n1.38\n\n1.829\n\n1.42\n\n1.387\n\n1.272\n\n1.366\n\n1.318\n\n1.622\n\n0.978\n\n0.909\n\n1.03\n\n1.345\n\n1.297\n\n1.296\n\n1.459\n\n1.212\n\n1.818\n\n2.456\n\n0.35\n\n1.221\n\n0.956\n\n2.05\n\n1.232\n\n1.841\n\n1.137\n\n1.194\n\n1.681\n\n3.258\n\n1.773\n\n1.953\n\n2.645\n\n2.674\n\n3.75\n\n1.795\n\n1.621\n\n3.018\n\n2.068\n\n3.081\n\n2.018\n\n2.194\n\n1.325\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.42904465485628895, "id": "", "name": "cube51_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube51_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e26.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e19\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.818\n\n2.389\n\n1.6\n\n3.107\n\n2.67\n\n2.262\n\n3.625\n\n1.545\n\n3.185\n\n1.418\n\n2.252\n\n1.946\n\n2.651\n\n1.951\n\n1.163\n\n1.696\n\n1.326\n\n2.155\n\n2.865\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.563598897575407, "id": "", "name": "cube51_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube51_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e19.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e17.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e19.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e51\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.698\n\n2.735\n\n2.45\n\n1.775\n\n2.375\n\n0.7\n\n3.491\n\n3.489\n\n1.826\n\n1.668\n\n1.923\n\n1.927\n\n3.547\n\n5.00001\n\n5.00001\n\n2.362\n\n2.377\n\n2.363\n\n3.209\n\n1.689\n\n1.444\n\n1.38\n\n1.829\n\n1.42\n\n1.387\n\n1.272\n\n1.366\n\n1.318\n\n1.622\n\n1.03\n\n1.345\n\n1.297\n\n1.296\n\n1.459\n\n1.818\n\n2.456\n\n0.35\n\n1.221\n\n0.956\n\n1.232\n\n1.841\n\n1.137\n\n2.645\n\n2.674\n\n3.75\n\n1.795\n\n3.018\n\n3.081\n\n2.018\n\n1.325\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4290372595571491, "id": "", "name": "cube52_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube52_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e10\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.6\n\n2.262\n\n3.625\n\n3.185\n\n1.44\n\n1.953\n\n1.946\n\n2.651\n\n1.696\n\n1.326\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4581980716119967, "id": "", "name": "cube52_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube52_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.652\n\n1.381\n\n1.528\n\n2.122\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5267939338146228, "id": "", "name": "cube53_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube53_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.381\n\n2.122\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.47211589708803725, "id": "", "name": "cube53_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube53_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.528\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5300145209055525, "id": "", "name": "cube54_cluster0", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube54_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:28.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e990\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.521\n\n1.5\n\n1.719\n\n0.853\n\n0.75\n\n0.861\n\n0.761\n\n0.813\n\n0.85\n\n1.775\n\n1.125\n\n1.375\n\n1.625\n\n1.375\n\n3.5\n\n0.955\n\n0.95\n\n0.808\n\n0.828\n\n4.175\n\n4.305\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.661\n\n4.716\n\n1.6\n\n2.256\n\n2.313\n\n4.758\n\n4.188\n\n1.209\n\n0.781\n\n1.792\n\n0.948\n\n2.0\n\n1.125\n\n0.69\n\n0.55\n\n0.779\n\n0.58\n\n0.858\n\n0.928\n\n0.947\n\n0.625\n\n0.833\n\n0.795\n\n0.583\n\n0.517\n\n0.579\n\n0.425\n\n0.418\n\n0.6\n\n0.864\n\n1.125\n\n0.75\n\n0.875\n\n0.675\n\n2.25\n\n2.5\n\n1.375\n\n1.563\n\n3.392\n\n3.56\n\n4.347\n\n4.261\n\n0.994\n\n5.00001\n\n4.277\n\n3.294\n\n2.464\n\n2.125\n\n2.75\n\n1.042\n\n1.868\n\n2.125\n\n0.922\n\n1.316\n\n1.042\n\n1.097\n\n1.036\n\n0.896\n\n1.036\n\n1.019\n\n0.944\n\n1.347\n\n0.976\n\n1.083\n\n0.525\n\n2.292\n\n1.873\n\n1.134\n\n0.639\n\n0.694\n\n0.55\n\n0.875\n\n1.125\n\n0.543\n\n0.875\n\n1.25\n\n0.813\n\n0.864\n\n0.928\n\n0.996\n\n1.006\n\n0.869\n\n0.83\n\n0.928\n\n1.36\n\n0.988\n\n0.96\n\n0.817\n\n1.269\n\n1.197\n\n1.005\n\n0.864\n\n0.952\n\n0.925\n\n0.751\n\n0.741\n\n0.723\n\n0.705\n\n1.015\n\n0.608\n\n0.534\n\n0.467\n\n0.4\n\n0.433\n\n0.725\n\n0.917\n\n1.135\n\n0.637\n\n0.694\n\n0.664\n\n0.675\n\n1.463\n\n1.138\n\n0.675\n\n0.686\n\n0.832\n\n1.028\n\n0.963\n\n0.675\n\n0.875\n\n0.726\n\n0.938\n\n0.612\n\n0.631\n\n0.61\n\n0.561\n\n0.694\n\n0.583\n\n0.681\n\n0.996\n\n1.101\n\n1.599\n\n0.972\n\n1.403\n\n0.958\n\n0.731\n\n0.847\n\n0.5\n\n0.561\n\n0.45\n\n0.44\n\n0.14999\n\n0.425\n\n0.638\n\n0.486\n\n0.5\n\n0.475\n\n0.923\n\n0.784\n\n1.0\n\n2.25\n\n0.989\n\n0.683\n\n0.736\n\n0.926\n\n1.432\n\n1.663\n\n0.958\n\n0.788\n\n0.947\n\n0.668\n\n0.65\n\n0.724\n\n0.778\n\n0.6\n\n0.64\n\n0.588\n\n0.713\n\n0.62\n\n0.632\n\n0.582\n\n0.689\n\n0.55\n\n1.142\n\n1.139\n\n1.194\n\n1.0\n\n0.917\n\n1.321\n\n0.875\n\n0.481\n\n0.592\n\n0.808\n\n0.641\n\n0.702\n\n0.593\n\n0.7\n\n0.735\n\n1.379\n\n1.375\n\n1.743\n\n3.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.542\n\n4.688\n\n5.00001\n\n5.00001\n\n2.25\n\n1.357\n\n1.094\n\n1.568\n\n1.417\n\n1.406\n\n2.25\n\n0.875\n\n3.125\n\n1.75\n\n1.875\n\n1.125\n\n2.75\n\n5.00001\n\n4.5\n\n1.5\n\n4.338\n\n5.00001\n\n1.75\n\n0.388\n\n1.875\n\n1.583\n\n1.0\n\n0.906\n\n1.275\n\n0.934\n\n0.986\n\n1.313\n\n0.813\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n1.844\n\n3.5\n\n5.00001\n\n4.5\n\n1.875\n\n1.469\n\n4.062\n\n1.625\n\n1.875\n\n2.688\n\n0.926\n\n1.333\n\n1.363\n\n1.125\n\n1.375\n\n0.946\n\n5.00001\n\n1.313\n\n1.75\n\n5.00001\n\n4.441\n\n5.00001\n\n1.875\n\n5.00001\n\n1.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.986\n\n1.625\n\n1.563\n\n0.982\n\n1.125\n\n3.5\n\n1.833\n\n0.964\n\n1.107\n\n1.896\n\n0.99\n\n0.914\n\n1.455\n\n0.932\n\n1.25\n\n1.054\n\n0.984\n\n1.375\n\n1.125\n\n1.5\n\n1.042\n\n1.313\n\n1.625\n\n2.0\n\n3.0\n\n4.5\n\n1.75\n\n2.458\n\n5.00001\n\n5.00001\n\n2.25\n\n3.3\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n1.256\n\n1.625\n\n1.917\n\n0.523\n\n4.232\n\n3.45\n\n4.0\n\n3.973\n\n2.313\n\n2.125\n\n3.167\n\n5.00001\n\n2.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.635\n\n5.00001\n\n2.75\n\n2.615\n\n1.635\n\n0.7\n\n0.579\n\n0.603\n\n0.792\n\n1.0\n\n0.715\n\n1.573\n\n1.65\n\n1.104\n\n1.316\n\n0.95\n\n1.133\n\n0.936\n\n1.058\n\n0.718\n\n0.715\n\n1.471\n\n1.542\n\n1.75\n\n2.77\n\n2.25\n\n1.01\n\n1.129\n\n0.844\n\n2.149\n\n1.208\n\n0.7\n\n0.644\n\n0.563\n\n0.55\n\n0.575\n\n0.346\n\n0.691\n\n0.526\n\n0.978\n\n1.593\n\n1.125\n\n1.757\n\n4.058\n\n1.469\n\n2.0\n\n4.26\n\n4.871\n\n4.658\n\n4.528\n\n5.00001\n\n4.078\n\n4.699\n\n2.864\n\n2.9\n\n5.0\n\n1.5\n\n1.5\n\n1.469\n\n1.425\n\n3.25\n\n1.302\n\n3.048\n\n1.528\n\n2.261\n\n1.431\n\n0.795\n\n0.857\n\n1.557\n\n1.198\n\n1.248\n\n1.452\n\n2.083\n\n4.118\n\n2.935\n\n5.00001\n\n5.00001\n\n1.375\n\n4.613\n\n4.17\n\n5.00001\n\n3.883\n\n5.00001\n\n3.887\n\n3.48\n\n4.474\n\n3.782\n\n2.942\n\n5.00001\n\n2.5\n\n5.00001\n\n3.842\n\n2.985\n\n1.199\n\n3.089\n\n0.875\n\n3.505\n\n3.606\n\n3.4\n\n3.839\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.875\n\n2.708\n\n4.93\n\n5.00001\n\n4.421\n\n5.00001\n\n5.00001\n\n1.063\n\n5.00001\n\n3.125\n\n2.25\n\n4.147\n\n2.75\n\n1.575\n\n3.052\n\n1.542\n\n1.175\n\n1.774\n\n1.731\n\n1.59\n\n1.544\n\n1.639\n\n1.58\n\n5.00001\n\n4.318\n\n1.428\n\n1.625\n\n3.464\n\n5.00001\n\n5.00001\n\n0.467\n\n4.628\n\n1.458\n\n0.993\n\n0.936\n\n2.25\n\n2.766\n\n0.838\n\n1.365\n\n2.18\n\n1.427\n\n0.878\n\n1.025\n\n0.882\n\n1.0\n\n0.58\n\n0.893\n\n3.75\n\n2.571\n\n2.719\n\n2.335\n\n2.442\n\n1.875\n\n1.739\n\n0.938\n\n1.051\n\n1.207\n\n0.567\n\n1.875\n\n0.911\n\n1.229\n\n1.153\n\n3.455\n\n1.135\n\n1.557\n\n0.5\n\n1.464\n\n2.481\n\n0.55\n\n1.375\n\n0.5\n\n0.963\n\n0.689\n\n0.614\n\n0.475\n\n1.55\n\n0.761\n\n0.949\n\n0.444\n\n0.655\n\n0.45\n\n0.615\n\n1.151\n\n0.943\n\n1.406\n\n0.903\n\n1.375\n\n1.417\n\n1.239\n\n1.141\n\n2.0\n\n1.575\n\n1.567\n\n1.394\n\n0.856\n\n0.654\n\n0.958\n\n0.8\n\n1.375\n\n1.23\n\n2.287\n\n1.25\n\n0.654\n\n0.654\n\n1.375\n\n0.55\n\n4.464\n\n3.202\n\n0.663\n\n0.675\n\n1.17\n\n3.833\n\n1.33\n\n2.761\n\n2.125\n\n0.55\n\n2.376\n\n1.884\n\n4.269\n\n3.454\n\n3.905\n\n5.0\n\n1.375\n\n2.625\n\n0.703\n\n1.09\n\n0.713\n\n0.908\n\n0.875\n\n0.629\n\n0.635\n\n0.731\n\n2.239\n\n0.875\n\n1.644\n\n1.0\n\n1.313\n\n5.00001\n\n3.167\n\n3.026\n\n0.647\n\n0.826\n\n0.485\n\n0.481\n\n0.486\n\n0.868\n\n1.572\n\n1.175\n\n4.417\n\n4.085\n\n4.116\n\n5.00001\n\n3.542\n\n2.896\n\n2.0\n\n2.042\n\n2.636\n\n1.544\n\n1.688\n\n1.853\n\n1.634\n\n1.67\n\n3.314\n\n3.0\n\n0.964\n\n0.906\n\n1.403\n\n1.655\n\n1.577\n\n1.549\n\n1.589\n\n1.651\n\n0.842\n\n0.905\n\n0.865\n\n0.657\n\n0.901\n\n0.756\n\n0.789\n\n0.827\n\n0.875\n\n0.833\n\n1.113\n\n1.688\n\n2.409\n\n2.211\n\n1.031\n\n1.688\n\n1.563\n\n1.063\n\n1.0\n\n0.911\n\n0.813\n\n0.72\n\n0.788\n\n0.87\n\n0.894\n\n2.05\n\n1.625\n\n2.0\n\n2.25\n\n2.625\n\n1.958\n\n2.15\n\n4.667\n\n2.55\n\n1.625\n\n3.452\n\n2.442\n\n4.414\n\n2.482\n\n2.167\n\n2.667\n\n3.404\n\n3.5\n\n5.0\n\n1.375\n\n2.75\n\n1.938\n\n1.125\n\n5.00001\n\n4.457\n\n5.00001\n\n5.00001\n\n3.885\n\n1.0\n\n2.146\n\n2.402\n\n3.625\n\n0.875\n\n1.589\n\n0.675\n\n1.922\n\n1.438\n\n1.242\n\n0.922\n\n1.313\n\n0.735\n\n3.306\n\n3.318\n\n3.913\n\n1.467\n\n0.95\n\n0.675\n\n5.00001\n\n0.93\n\n0.833\n\n0.929\n\n0.903\n\n0.978\n\n1.458\n\n1.417\n\n1.313\n\n1.344\n\n2.452\n\n2.905\n\n2.817\n\n3.796\n\n1.211\n\n1.482\n\n3.282\n\n2.101\n\n1.676\n\n1.446\n\n5.00001\n\n3.279\n\n2.688\n\n3.198\n\n5.00001\n\n5.00001\n\n0.908\n\n2.589\n\n2.374\n\n3.403\n\n2.0\n\n1.866\n\n3.473\n\n4.441\n\n1.225\n\n1.729\n\n2.219\n\n0.837\n\n1.107\n\n2.931\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n4.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.25\n\n5.00001\n\n2.2\n\n2.75\n\n2.5\n\n2.75\n\n1.875\n\n1.125\n\n2.25\n\n4.5\n\n2.25\n\n3.25\n\n1.813\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n0.875\n\n0.546\n\n0.52\n\n0.54\n\n0.612\n\n0.731\n\n2.42\n\n1.267\n\n1.323\n\n0.875\n\n1.208\n\n1.125\n\n1.625\n\n2.028\n\n1.063\n\n2.151\n\n5.00001\n\n2.5\n\n2.375\n\n3.278\n\n2.563\n\n5.00001\n\n2.417\n\n2.375\n\n2.7\n\n2.336\n\n5.00001\n\n4.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.861\n\n3.0\n\n2.583\n\n2.375\n\n5.00001\n\n5.00001\n\n3.287\n\n1.292\n\n5.00001\n\n2.0\n\n1.75\n\n1.849\n\n1.125\n\n1.795\n\n5.00001\n\n5.00001\n\n1.875\n\n4.25\n\n4.41\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.922\n\n1.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.667\n\n2.583\n\n1.214\n\n0.813\n\n0.689\n\n0.769\n\n0.726\n\n0.748\n\n0.875\n\n0.844\n\n0.582\n\n1.487\n\n0.901\n\n1.229\n\n0.665\n\n1.516\n\n0.988\n\n1.133\n\n1.465\n\n0.72\n\n0.773\n\n0.694\n\n0.938\n\n0.831\n\n0.566\n\n0.656\n\n1.054\n\n1.508\n\n1.168\n\n0.668\n\n0.481\n\n0.685\n\n0.59\n\n1.016\n\n0.745\n\n1.712\n\n0.732\n\n0.52\n\n0.656\n\n0.875\n\n0.774\n\n0.903\n\n0.578\n\n0.645\n\n0.903\n\n0.887\n\n0.625\n\n0.686\n\n0.554\n\n0.614\n\n0.701\n\n0.813\n\n0.942\n\n1.0\n\n0.609\n\n0.617\n\n0.462\n\n0.531\n\n0.815\n\n1.288\n\n0.655\n\n0.946\n\n1.094\n\n1.625\n\n1.25\n\n3.152\n\n0.75\n\n2.44\n\n2.553\n\n0.675\n\n1.406\n\n3.344\n\n2.012\n\n2.583\n\n2.333\n\n1.5\n\n1.325\n\n1.621\n\n1.369\n\n0.987\n\n1.488\n\n1.17\n\n1.393\n\n2.017\n\n1.333\n\n1.575\n\n1.229\n\n1.125\n\n3.648\n\n0.85\n\n1.5\n\n2.905\n\n1.173\n\n1.271\n\n0.906\n\n2.75\n\n0.694\n\n1.375\n\n1.648\n\n1.336\n\n0.615\n\n0.979\n\n0.675\n\n0.727\n\n0.813\n\n0.875\n\n1.288\n\n0.519\n\n0.541\n\n0.632\n\n0.647\n\n0.582\n\n0.931\n\n0.942\n\n0.888\n\n0.847\n\n0.737\n\n0.496\n\n0.615\n\n1.433\n\n0.43\n\n1.375\n\n0.638\n\n0.495\n\n2.175\n\n0.875\n\n1.046\n\n1.113\n\n1.362\n\n1.37\n\n3.75\n\n1.875\n\n2.75\n\n0.875\n\n5.00001\n\n5.00001\n\n4.108\n\n5.00001\n\n5.00001\n\n0.76\n\n2.25\n\n1.375\n\n0.55\n\n0.579\n\n1.0\n\n0.775\n\n0.72\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.561822291595673, "id": "", "name": "cube54_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube54_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:94.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e362\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.7\n\n3.357\n\n2.185\n\n1.181\n\n1.191\n\n3.714\n\n2.417\n\n2.167\n\n2.536\n\n1.438\n\n2.0\n\n4.125\n\n4.429\n\n3.373\n\n0.899\n\n0.889\n\n1.202\n\n0.745\n\n1.33\n\n1.306\n\n2.665\n\n4.694\n\n4.034\n\n3.246\n\n3.513\n\n5.00001\n\n5.00001\n\n4.854\n\n1.125\n\n1.989\n\n1.322\n\n0.466\n\n1.935\n\n0.692\n\n1.125\n\n0.647\n\n0.56\n\n0.552\n\n1.199\n\n0.768\n\n0.699\n\n0.625\n\n0.708\n\n0.843\n\n0.64\n\n0.701\n\n0.727\n\n0.468\n\n2.458\n\n1.703\n\n0.552\n\n0.622\n\n0.477\n\n0.759\n\n0.818\n\n0.859\n\n0.618\n\n1.458\n\n1.443\n\n1.426\n\n1.364\n\n1.386\n\n4.507\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.531\n\n3.333\n\n2.167\n\n0.938\n\n1.44\n\n2.875\n\n2.75\n\n2.25\n\n1.589\n\n2.125\n\n5.00001\n\n1.475\n\n1.273\n\n1.158\n\n1.229\n\n0.925\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n4.285\n\n1.739\n\n1.488\n\n2.214\n\n1.213\n\n1.546\n\n1.404\n\n1.159\n\n1.183\n\n1.625\n\n1.475\n\n5.00001\n\n1.485\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.385\n\n1.541\n\n3.687\n\n2.713\n\n5.00001\n\n1.588\n\n1.761\n\n1.478\n\n0.863\n\n1.085\n\n1.77\n\n1.625\n\n2.971\n\n4.102\n\n4.137\n\n4.366\n\n2.849\n\n5.00001\n\n4.206\n\n3.14\n\n2.79\n\n3.547\n\n4.347\n\n4.541\n\n3.074\n\n5.00001\n\n1.821\n\n1.807\n\n1.821\n\n1.802\n\n1.656\n\n1.625\n\n1.774\n\n1.635\n\n1.584\n\n1.606\n\n1.799\n\n1.594\n\n1.403\n\n1.639\n\n1.597\n\n3.506\n\n2.375\n\n4.379\n\n5.00001\n\n3.674\n\n3.348\n\n2.398\n\n2.232\n\n1.265\n\n4.29\n\n0.944\n\n1.463\n\n0.731\n\n0.704\n\n1.125\n\n0.659\n\n1.994\n\n1.042\n\n1.28\n\n0.689\n\n0.822\n\n0.606\n\n0.847\n\n0.654\n\n0.586\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.544\n\n0.55\n\n1.907\n\n1.414\n\n1.788\n\n1.429\n\n1.466\n\n2.745\n\n2.631\n\n0.925\n\n1.444\n\n1.346\n\n1.462\n\n4.067\n\n2.452\n\n2.252\n\n1.405\n\n1.671\n\n0.817\n\n0.608\n\n0.696\n\n0.979\n\n1.128\n\n1.781\n\n2.816\n\n1.234\n\n1.414\n\n1.538\n\n1.794\n\n1.755\n\n0.831\n\n1.754\n\n0.815\n\n0.829\n\n3.25\n\n5.00001\n\n5.00001\n\n1.766\n\n2.415\n\n3.37\n\n4.676\n\n2.38\n\n1.75\n\n0.675\n\n0.675\n\n1.565\n\n1.521\n\n1.276\n\n1.411\n\n0.932\n\n1.25\n\n1.607\n\n1.226\n\n2.216\n\n3.164\n\n3.874\n\n3.623\n\n3.783\n\n4.399\n\n3.202\n\n3.003\n\n5.00001\n\n1.688\n\n4.583\n\n0.55\n\n5.00001\n\n2.375\n\n5.00001\n\n2.25\n\n5.00001\n\n5.00001\n\n4.184\n\n1.875\n\n4.0\n\n0.55\n\n3.75\n\n2.603\n\n1.781\n\n2.226\n\n3.134\n\n0.568\n\n0.594\n\n1.103\n\n0.99\n\n2.75\n\n2.515\n\n2.979\n\n3.222\n\n5.00001\n\n2.295\n\n4.359\n\n3.118\n\n2.181\n\n2.328\n\n1.606\n\n1.566\n\n5.00001\n\n0.985\n\n1.728\n\n2.128\n\n1.919\n\n1.152\n\n1.91\n\n1.649\n\n2.314\n\n3.553\n\n3.782\n\n3.595\n\n2.242\n\n2.356\n\n1.601\n\n1.636\n\n1.726\n\n1.736\n\n1.825\n\n2.739\n\n3.356\n\n4.228\n\n2.762\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.592\n\n4.183\n\n3.616\n\n3.942\n\n3.355\n\n1.908\n\n1.017\n\n0.582\n\n1.389\n\n1.031\n\n1.05\n\n0.942\n\n1.111\n\n0.648\n\n0.981\n\n0.852\n\n0.606\n\n1.416\n\n0.985\n\n0.995\n\n0.435\n\n0.44\n\n0.586\n\n0.557\n\n0.712\n\n0.575\n\n0.811\n\n0.761\n\n0.971\n\n1.101\n\n1.237\n\n1.711\n\n1.617\n\n0.875\n\n2.051\n\n2.14\n\n1.775\n\n3.813\n\n2.542\n\n1.354\n\n1.974\n\n1.428\n\n2.408\n\n1.459\n\n1.252\n\n0.922\n\n0.556\n\n0.912\n\n0.503\n\n0.506\n\n0.498\n\n1.493\n\n1.069\n\n1.75\n\n3.93\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5652885147135237, "id": "", "name": "cube55_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube55_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:86.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e290\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.7\n\n3.357\n\n2.185\n\n1.181\n\n3.714\n\n2.417\n\n2.536\n\n1.438\n\n2.0\n\n4.125\n\n4.429\n\n3.373\n\n3.365\n\n0.899\n\n0.889\n\n0.745\n\n1.33\n\n1.306\n\n4.694\n\n4.034\n\n3.246\n\n3.513\n\n5.00001\n\n4.854\n\n1.989\n\n1.322\n\n0.466\n\n1.935\n\n0.692\n\n1.125\n\n0.647\n\n0.552\n\n0.625\n\n0.843\n\n0.701\n\n0.727\n\n1.703\n\n0.552\n\n0.622\n\n0.818\n\n0.859\n\n0.618\n\n1.458\n\n1.443\n\n1.426\n\n1.364\n\n1.386\n\n4.507\n\n5.00001\n\n1.583\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.333\n\n0.938\n\n1.44\n\n2.75\n\n2.25\n\n1.589\n\n2.125\n\n2.875\n\n5.00001\n\n1.475\n\n1.273\n\n1.229\n\n0.925\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.739\n\n1.488\n\n2.214\n\n1.213\n\n1.546\n\n1.404\n\n1.159\n\n1.183\n\n1.625\n\n1.475\n\n5.00001\n\n1.485\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.541\n\n3.687\n\n2.713\n\n5.00001\n\n1.588\n\n1.761\n\n1.085\n\n1.77\n\n1.625\n\n4.102\n\n4.137\n\n4.366\n\n4.206\n\n3.547\n\n4.347\n\n4.541\n\n2.913\n\n1.821\n\n1.807\n\n1.821\n\n1.802\n\n1.585\n\n1.656\n\n1.625\n\n1.774\n\n1.635\n\n1.584\n\n1.606\n\n1.799\n\n1.594\n\n1.403\n\n1.597\n\n3.506\n\n2.375\n\n4.379\n\n3.674\n\n3.348\n\n2.398\n\n2.232\n\n1.265\n\n4.29\n\n0.944\n\n1.463\n\n1.125\n\n0.659\n\n1.994\n\n1.042\n\n1.28\n\n0.689\n\n0.822\n\n0.606\n\n0.654\n\n0.586\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.544\n\n0.55\n\n1.414\n\n1.788\n\n1.429\n\n1.466\n\n2.745\n\n2.631\n\n0.925\n\n1.444\n\n1.346\n\n4.067\n\n2.452\n\n2.252\n\n1.405\n\n1.671\n\n0.608\n\n0.696\n\n1.128\n\n1.781\n\n1.234\n\n1.414\n\n1.794\n\n1.755\n\n0.831\n\n1.754\n\n0.829\n\n3.25\n\n5.00001\n\n5.00001\n\n2.415\n\n3.37\n\n4.676\n\n2.38\n\n1.75\n\n0.675\n\n0.675\n\n1.521\n\n1.276\n\n1.411\n\n0.932\n\n1.25\n\n1.426\n\n1.226\n\n2.216\n\n1.345\n\n3.874\n\n3.202\n\n3.003\n\n5.00001\n\n1.688\n\n2.25\n\n5.00001\n\n5.00001\n\n4.184\n\n1.875\n\n4.0\n\n0.55\n\n2.603\n\n1.781\n\n3.134\n\n0.594\n\n1.103\n\n0.99\n\n1.379\n\n1.579\n\n2.75\n\n2.515\n\n2.979\n\n3.222\n\n2.295\n\n4.359\n\n2.181\n\n1.606\n\n1.566\n\n5.00001\n\n0.985\n\n1.728\n\n2.128\n\n1.919\n\n1.152\n\n1.91\n\n1.649\n\n2.314\n\n3.553\n\n3.782\n\n2.242\n\n1.601\n\n1.636\n\n1.726\n\n1.736\n\n1.825\n\n2.739\n\n3.356\n\n2.762\n\n5.00001\n\n4.592\n\n4.183\n\n3.616\n\n3.942\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n1.05\n\n0.942\n\n1.111\n\n0.648\n\n0.981\n\n0.852\n\n0.606\n\n0.985\n\n0.995\n\n0.44\n\n0.557\n\n0.575\n\n0.811\n\n0.971\n\n1.101\n\n1.237\n\n1.711\n\n1.617\n\n0.875\n\n2.051\n\n2.14\n\n1.775\n\n3.813\n\n2.542\n\n1.354\n\n1.974\n\n1.428\n\n2.408\n\n1.459\n\n1.252\n\n0.922\n\n0.503\n\n0.506\n\n0.498\n\n1.493\n\n1.069\n\n1.75\n\n3.93\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5156170167083258, "id": "", "name": "cube55_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube55_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:66.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e255\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n1.821\n\n1.349\n\n2.534\n\n2.848\n\n3.898\n\n3.529\n\n3.137\n\n1.126\n\n0.873\n\n1.426\n\n0.988\n\n1.891\n\n1.565\n\n1.688\n\n2.042\n\n2.347\n\n3.677\n\n3.692\n\n3.567\n\n3.822\n\n1.742\n\n0.467\n\n0.618\n\n0.506\n\n0.647\n\n0.694\n\n1.437\n\n1.408\n\n0.446\n\n1.034\n\n0.809\n\n0.598\n\n1.629\n\n1.158\n\n1.24\n\n1.694\n\n1.83\n\n1.772\n\n1.813\n\n2.139\n\n2.713\n\n5.00001\n\n5.00001\n\n1.629\n\n2.25\n\n1.875\n\n3.5\n\n2.188\n\n0.875\n\n1.375\n\n1.125\n\n1.1\n\n1.625\n\n3.0\n\n1.875\n\n2.7\n\n1.875\n\n2.5\n\n5.00001\n\n3.5\n\n5.00001\n\n2.476\n\n5.00001\n\n1.162\n\n1.233\n\n4.025\n\n1.597\n\n1.576\n\n1.362\n\n1.272\n\n1.578\n\n1.514\n\n1.738\n\n5.00001\n\n1.506\n\n1.642\n\n1.465\n\n1.676\n\n1.482\n\n1.509\n\n1.319\n\n1.174\n\n1.183\n\n1.402\n\n1.462\n\n1.475\n\n1.607\n\n2.864\n\n5.00001\n\n2.283\n\n4.72\n\n5.00001\n\n1.151\n\n1.411\n\n2.044\n\n1.676\n\n1.429\n\n1.513\n\n3.112\n\n0.849\n\n2.879\n\n2.763\n\n2.856\n\n2.098\n\n1.188\n\n3.14\n\n4.143\n\n5.00001\n\n1.096\n\n0.798\n\n1.276\n\n2.017\n\n1.005\n\n3.653\n\n2.832\n\n3.092\n\n2.374\n\n2.399\n\n1.625\n\n1.944\n\n1.978\n\n1.485\n\n1.833\n\n3.74\n\n2.223\n\n2.878\n\n2.296\n\n1.479\n\n0.859\n\n2.034\n\n1.591\n\n2.165\n\n1.633\n\n1.555\n\n1.246\n\n1.215\n\n1.137\n\n1.687\n\n1.326\n\n1.742\n\n0.77\n\n1.131\n\n0.953\n\n0.744\n\n0.666\n\n1.59\n\n1.452\n\n1.425\n\n1.213\n\n0.769\n\n0.68\n\n0.824\n\n0.904\n\n1.16\n\n1.293\n\n0.966\n\n0.933\n\n1.896\n\n1.125\n\n1.034\n\n2.317\n\n1.614\n\n0.911\n\n1.258\n\n1.332\n\n0.78\n\n0.883\n\n1.402\n\n0.925\n\n0.668\n\n1.668\n\n1.891\n\n0.883\n\n1.444\n\n1.843\n\n2.409\n\n1.098\n\n2.5\n\n1.661\n\n1.943\n\n2.415\n\n2.637\n\n2.962\n\n4.113\n\n2.813\n\n2.621\n\n1.738\n\n1.507\n\n2.375\n\n1.599\n\n1.175\n\n1.299\n\n0.985\n\n1.435\n\n1.595\n\n1.996\n\n3.53\n\n2.21\n\n1.667\n\n2.5\n\n2.034\n\n1.819\n\n2.128\n\n1.46\n\n1.123\n\n1.0\n\n1.707\n\n1.948\n\n2.773\n\n2.506\n\n2.67\n\n3.043\n\n2.62\n\n2.362\n\n2.724\n\n3.445\n\n2.653\n\n1.89\n\n3.543\n\n2.531\n\n1.601\n\n1.838\n\n2.766\n\n2.574\n\n2.641\n\n2.798\n\n2.801\n\n3.445\n\n2.603\n\n1.601\n\n2.148\n\n1.316\n\n1.441\n\n2.1\n\n1.871\n\n1.266\n\n1.81\n\n1.583\n\n1.919\n\n2.023\n\n1.841\n\n2.203\n\n1.91\n\n1.519\n\n1.955\n\n0.958\n\n1.271\n\n1.791\n\n1.92\n\n2.842\n\n0.691\n\n2.043\n\n1.826\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5323197488878965, "id": "", "name": "cube56_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube56_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e16.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:58.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e148\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n1.349\n\n2.534\n\n2.848\n\n3.529\n\n3.137\n\n1.126\n\n1.426\n\n0.988\n\n1.565\n\n2.042\n\n2.347\n\n3.692\n\n3.822\n\n0.618\n\n0.647\n\n0.694\n\n1.437\n\n1.408\n\n0.446\n\n1.034\n\n0.809\n\n1.158\n\n1.694\n\n1.83\n\n2.139\n\n2.713\n\n1.629\n\n1.875\n\n3.5\n\n1.875\n\n1.875\n\n2.5\n\n5.00001\n\n1.162\n\n4.025\n\n1.597\n\n5.00001\n\n1.642\n\n1.509\n\n1.319\n\n1.174\n\n1.462\n\n2.864\n\n5.00001\n\n2.283\n\n4.72\n\n5.00001\n\n1.151\n\n1.411\n\n2.044\n\n1.676\n\n1.429\n\n1.513\n\n3.112\n\n2.856\n\n2.098\n\n1.188\n\n0.798\n\n1.005\n\n2.832\n\n3.092\n\n2.374\n\n2.399\n\n1.625\n\n1.944\n\n1.479\n\n2.034\n\n1.591\n\n2.165\n\n1.633\n\n1.215\n\n1.137\n\n1.326\n\n0.953\n\n0.744\n\n0.666\n\n0.68\n\n0.824\n\n0.904\n\n1.16\n\n0.966\n\n0.933\n\n1.896\n\n1.125\n\n1.034\n\n2.317\n\n1.614\n\n1.258\n\n1.332\n\n0.883\n\n0.925\n\n0.668\n\n1.891\n\n0.883\n\n1.444\n\n1.843\n\n2.409\n\n1.098\n\n2.5\n\n1.661\n\n1.943\n\n2.637\n\n2.962\n\n4.113\n\n2.813\n\n2.621\n\n1.738\n\n1.175\n\n0.985\n\n1.435\n\n1.595\n\n1.996\n\n2.21\n\n1.667\n\n2.5\n\n2.034\n\n1.707\n\n2.773\n\n2.506\n\n2.67\n\n2.62\n\n2.362\n\n2.724\n\n3.445\n\n2.653\n\n1.89\n\n3.543\n\n2.766\n\n2.574\n\n2.798\n\n3.445\n\n2.603\n\n2.148\n\n1.316\n\n1.441\n\n2.1\n\n1.266\n\n1.919\n\n2.203\n\n1.519\n\n1.955\n\n0.958\n\n1.271\n\n1.791\n\n1.92\n\n2.842\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5581916794558436, "id": "", "name": "cube56_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube56_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e19.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e83\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.924\n\n2.45\n\n3.567\n\n0.872\n\n1.063\n\n0.882\n\n0.546\n\n1.549\n\n1.365\n\n1.454\n\n2.275\n\n2.596\n\n3.4\n\n1.775\n\n3.0\n\n2.832\n\n1.362\n\n3.304\n\n1.826\n\n1.668\n\n3.547\n\n3.613\n\n5.00001\n\n1.2\n\n1.469\n\n1.679\n\n1.455\n\n2.377\n\n2.763\n\n2.953\n\n1.875\n\n1.622\n\n1.983\n\n1.444\n\n1.38\n\n1.581\n\n1.499\n\n1.42\n\n1.387\n\n1.376\n\n1.246\n\n1.366\n\n1.83\n\n0.978\n\n1.079\n\n1.03\n\n1.293\n\n1.297\n\n1.212\n\n1.245\n\n1.327\n\n1.878\n\n1.577\n\n3.115\n\n2.456\n\n1.419\n\n1.41\n\n1.038\n\n1.192\n\n0.956\n\n1.932\n\n1.219\n\n1.504\n\n1.687\n\n1.5\n\n3.53\n\n1.194\n\n1.681\n\n3.258\n\n4.912\n\n2.645\n\n2.674\n\n2.611\n\n1.795\n\n1.621\n\n1.278\n\n3.018\n\n2.068\n\n2.239\n\n2.043\n\n2.018\n\n2.194\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.40784921750084796, "id": "", "name": "cube57_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube57_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e40.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.818\n\n2.389\n\n2.262\n\n1.326\n\n2.018\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5329175693728241, "id": "", "name": "cube57_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube57_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e22.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e35\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.45\n\n0.872\n\n1.365\n\n1.454\n\n2.275\n\n2.596\n\n1.775\n\n3.304\n\n1.826\n\n1.668\n\n3.547\n\n3.613\n\n5.00001\n\n2.377\n\n1.444\n\n1.38\n\n1.42\n\n1.387\n\n1.366\n\n1.03\n\n1.297\n\n1.327\n\n1.878\n\n1.577\n\n2.456\n\n1.038\n\n0.956\n\n1.932\n\n1.219\n\n1.5\n\n2.645\n\n2.674\n\n1.795\n\n3.018\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.30510199137555116, "id": "", "name": "cube58_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube58_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.262\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5458597800281022, "id": "", "name": "cube58_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube58_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.953\n\n1.326\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5320836932689209, "id": "", "name": "cube59_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube59_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:24.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1882\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5386945634972012, "id": "", "name": "cube59_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube59_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:74.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e854\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.585\n\n0.975\n\n1.838\n\n1.7\n\n2.578\n\n3.357\n\n2.55\n\n2.185\n\n2.341\n\n1.079\n\n1.117\n\n1.023\n\n1.191\n\n0.824\n\n3.5\n\n2.875\n\n2.417\n\n2.167\n\n4.125\n\n2.027\n\n1.625\n\n1.598\n\n2.344\n\n2.365\n\n1.514\n\n2.318\n\n1.625\n\n4.429\n\n3.373\n\n2.994\n\n1.393\n\n3.275\n\n1.073\n\n0.899\n\n0.889\n\n1.202\n\n0.745\n\n1.226\n\n1.163\n\n0.813\n\n0.663\n\n1.597\n\n1.077\n\n1.423\n\n0.451\n\n0.538\n\n1.306\n\n1.863\n\n2.051\n\n0.877\n\n2.941\n\n1.861\n\n1.82\n\n1.793\n\n2.674\n\n2.328\n\n3.562\n\n4.694\n\n3.246\n\n3.593\n\n3.982\n\n3.513\n\n4.553\n\n3.944\n\n4.541\n\n3.997\n\n4.854\n\n3.07\n\n3.107\n\n2.377\n\n0.797\n\n1.975\n\n1.725\n\n1.989\n\n2.306\n\n1.402\n\n1.322\n\n0.477\n\n0.5\n\n0.498\n\n2.25\n\n0.895\n\n0.466\n\n0.455\n\n0.491\n\n0.483\n\n0.508\n\n0.759\n\n0.619\n\n1.935\n\n0.517\n\n1.45\n\n1.742\n\n1.567\n\n0.52\n\n0.647\n\n0.56\n\n0.552\n\n0.637\n\n0.675\n\n0.656\n\n0.587\n\n0.622\n\n0.603\n\n0.762\n\n0.708\n\n0.843\n\n0.912\n\n0.755\n\n1.182\n\n0.586\n\n0.552\n\n0.573\n\n0.521\n\n0.622\n\n0.55\n\n0.759\n\n0.818\n\n0.973\n\n0.859\n\n1.057\n\n0.618\n\n0.91\n\n1.458\n\n1.467\n\n1.443\n\n1.568\n\n1.409\n\n1.472\n\n1.481\n\n1.364\n\n1.386\n\n1.585\n\n4.318\n\n3.74\n\n4.507\n\n3.412\n\n3.528\n\n4.199\n\n5.00001\n\n4.835\n\n2.753\n\n2.059\n\n1.542\n\n3.9\n\n5.00001\n\n1.979\n\n4.107\n\n5.00001\n\n2.375\n\n5.00001\n\n2.5\n\n2.375\n\n2.047\n\n5.00001\n\n5.00001\n\n1.6\n\n1.708\n\n2.192\n\n1.667\n\n1.53\n\n1.425\n\n1.472\n\n1.516\n\n1.156\n\n1.448\n\n1.307\n\n1.859\n\n1.75\n\n2.25\n\n1.589\n\n1.625\n\n2.125\n\n1.417\n\n3.5\n\n1.375\n\n3.289\n\n1.577\n\n2.25\n\n5.00001\n\n1.525\n\n1.237\n\n1.8\n\n1.219\n\n1.25\n\n2.75\n\n1.475\n\n1.273\n\n1.24\n\n1.365\n\n0.962\n\n1.148\n\n1.143\n\n1.008\n\n0.992\n\n1.008\n\n1.158\n\n0.996\n\n1.161\n\n1.133\n\n1.013\n\n0.882\n\n0.985\n\n1.25\n\n1.229\n\n0.925\n\n0.875\n\n1.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.15\n\n1.28\n\n1.631\n\n4.514\n\n1.219\n\n1.163\n\n1.107\n\n1.241\n\n1.607\n\n1.569\n\n1.311\n\n5.00001\n\n5.00001\n\n1.844\n\n1.542\n\n1.745\n\n1.42\n\n1.739\n\n1.658\n\n5.00001\n\n1.625\n\n1.5\n\n2.214\n\n1.45\n\n1.317\n\n1.213\n\n1.322\n\n1.375\n\n1.543\n\n1.432\n\n1.863\n\n1.75\n\n0.929\n\n0.972\n\n1.219\n\n1.089\n\n1.546\n\n1.585\n\n1.76\n\n1.56\n\n1.911\n\n1.609\n\n1.875\n\n1.717\n\n1.693\n\n1.118\n\n1.099\n\n1.3\n\n0.893\n\n1.0\n\n1.032\n\n1.281\n\n1.032\n\n0.951\n\n1.203\n\n1.234\n\n1.142\n\n1.404\n\n1.201\n\n1.368\n\n1.306\n\n1.397\n\n1.159\n\n1.183\n\n3.1\n\n1.485\n\n1.422\n\n1.857\n\n3.364\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.385\n\n1.55\n\n3.921\n\n3.687\n\n2.932\n\n3.242\n\n4.392\n\n2.896\n\n2.713\n\n4.705\n\n4.176\n\n3.461\n\n5.00001\n\n1.407\n\n1.044\n\n1.246\n\n0.84\n\n1.429\n\n1.493\n\n1.405\n\n1.761\n\n1.311\n\n0.714\n\n0.873\n\n0.885\n\n0.627\n\n0.571\n\n1.478\n\n0.863\n\n1.085\n\n1.305\n\n1.192\n\n1.304\n\n1.369\n\n1.77\n\n1.298\n\n1.341\n\n1.027\n\n1.0\n\n3.988\n\n2.589\n\n1.625\n\n2.971\n\n4.102\n\n3.531\n\n3.039\n\n2.887\n\n4.366\n\n2.166\n\n2.849\n\n3.873\n\n3.413\n\n4.206\n\n3.14\n\n3.3\n\n3.547\n\n4.541\n\n3.551\n\n3.449\n\n2.257\n\n3.58\n\n3.757\n\n3.134\n\n2.556\n\n4.504\n\n5.00001\n\n3.454\n\n5.00001\n\n1.813\n\n1.528\n\n1.849\n\n1.821\n\n1.552\n\n1.835\n\n1.775\n\n1.7\n\n1.577\n\n1.74\n\n1.506\n\n1.591\n\n1.714\n\n1.821\n\n1.725\n\n1.656\n\n1.591\n\n1.625\n\n1.705\n\n1.584\n\n1.606\n\n1.595\n\n1.799\n\n1.785\n\n1.518\n\n1.594\n\n1.403\n\n1.589\n\n1.025\n\n1.768\n\n1.63\n\n1.701\n\n3.495\n\n1.639\n\n1.708\n\n1.524\n\n3.5\n\n1.678\n\n1.597\n\n3.195\n\n3.905\n\n3.506\n\n2.375\n\n4.379\n\n1.375\n\n3.674\n\n1.468\n\n2.644\n\n3.348\n\n1.987\n\n2.014\n\n0.978\n\n2.398\n\n0.979\n\n1.101\n\n0.986\n\n1.265\n\n0.815\n\n1.509\n\n0.959\n\n0.694\n\n0.944\n\n1.089\n\n1.463\n\n0.731\n\n0.611\n\n1.125\n\n0.659\n\n1.241\n\n1.994\n\n1.252\n\n1.042\n\n0.991\n\n0.83\n\n1.28\n\n1.523\n\n0.918\n\n0.98\n\n1.026\n\n0.934\n\n0.694\n\n0.689\n\n0.822\n\n0.847\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n1.25\n\n0.841\n\n1.231\n\n0.878\n\n0.783\n\n0.525\n\n0.703\n\n0.788\n\n0.673\n\n0.668\n\n0.697\n\n1.098\n\n0.931\n\n0.55\n\n1.795\n\n1.907\n\n0.896\n\n1.042\n\n1.145\n\n1.414\n\n1.705\n\n1.1\n\n0.676\n\n0.631\n\n0.609\n\n0.919\n\n1.07\n\n1.166\n\n2.323\n\n1.429\n\n0.825\n\n1.627\n\n1.466\n\n2.432\n\n2.631\n\n1.275\n\n0.925\n\n1.38\n\n1.444\n\n1.504\n\n1.481\n\n1.346\n\n1.462\n\n1.924\n\n2.254\n\n2.863\n\n4.067\n\n1.025\n\n1.951\n\n2.023\n\n2.252\n\n1.055\n\n0.92\n\n1.405\n\n0.635\n\n0.708\n\n0.878\n\n0.93\n\n1.102\n\n1.431\n\n1.172\n\n2.696\n\n1.035\n\n1.309\n\n1.265\n\n0.695\n\n1.671\n\n0.596\n\n1.031\n\n0.817\n\n0.608\n\n0.696\n\n0.65\n\n0.733\n\n0.724\n\n0.978\n\n1.861\n\n1.128\n\n0.777\n\n0.785\n\n1.991\n\n1.781\n\n1.35\n\n2.816\n\n0.913\n\n0.992\n\n0.924\n\n0.898\n\n1.188\n\n1.855\n\n0.896\n\n1.234\n\n1.43\n\n1.35\n\n1.25\n\n1.538\n\n1.35\n\n1.794\n\n1.755\n\n1.063\n\n0.869\n\n0.833\n\n0.864\n\n0.863\n\n1.375\n\n1.754\n\n1.604\n\n0.829\n\n3.25\n\n0.875\n\n1.598\n\n2.083\n\n4.74\n\n5.00001\n\n1.766\n\n2.67\n\n1.146\n\n2.495\n\n2.415\n\n1.463\n\n1.684\n\n1.569\n\n2.882\n\n2.43\n\n2.717\n\n1.488\n\n1.521\n\n1.327\n\n1.38\n\n0.932\n\n1.404\n\n1.53\n\n1.607\n\n1.091\n\n1.076\n\n1.226\n\n1.519\n\n1.523\n\n2.216\n\n2.662\n\n1.501\n\n1.414\n\n1.192\n\n1.32\n\n1.182\n\n1.713\n\n3.164\n\n1.208\n\n1.083\n\n1.5\n\n1.966\n\n2.685\n\n2.786\n\n2.222\n\n3.623\n\n2.941\n\n2.387\n\n2.181\n\n2.383\n\n3.442\n\n1.881\n\n1.856\n\n2.161\n\n1.171\n\n1.514\n\n2.05\n\n1.775\n\n1.272\n\n2.478\n\n2.145\n\n2.104\n\n2.796\n\n2.852\n\n1.748\n\n2.64\n\n2.875\n\n3.202\n\n3.356\n\n1.992\n\n1.582\n\n1.899\n\n1.165\n\n1.271\n\n2.746\n\n5.00001\n\n5.00001\n\n1.688\n\n4.5\n\n3.8\n\n4.5\n\n4.583\n\n2.875\n\n2.25\n\n4.0\n\n2.75\n\n2.25\n\n0.55\n\n5.00001\n\n2.375\n\n5.00001\n\n1.875\n\n1.15\n\n4.429\n\n3.545\n\n4.0\n\n2.25\n\n3.25\n\n2.5\n\n3.861\n\n3.162\n\n4.273\n\n2.7\n\n3.912\n\n2.667\n\n2.65\n\n2.125\n\n2.5\n\n2.433\n\n2.65\n\n2.361\n\n2.254\n\n1.404\n\n2.464\n\n2.518\n\n2.515\n\n3.351\n\n0.525\n\n0.613\n\n0.638\n\n0.594\n\n0.813\n\n1.136\n\n0.483\n\n0.53\n\n0.739\n\n1.103\n\n0.946\n\n1.591\n\n0.787\n\n1.176\n\n0.973\n\n0.941\n\n1.113\n\n0.99\n\n1.301\n\n1.582\n\n2.836\n\n5.00001\n\n2.75\n\n1.464\n\n2.386\n\n3.07\n\n2.664\n\n2.708\n\n3.197\n\n2.979\n\n5.00001\n\n3.45\n\n2.379\n\n5.00001\n\n3.058\n\n3.222\n\n3.748\n\n4.313\n\n4.359\n\n3.118\n\n2.11\n\n4.433\n\n3.436\n\n1.606\n\n1.566\n\n3.943\n\n5.00001\n\n5.00001\n\n2.265\n\n2.127\n\n1.373\n\n1.137\n\n1.176\n\n0.985\n\n0.861\n\n1.837\n\n2.136\n\n2.342\n\n3.97\n\n1.776\n\n1.734\n\n1.763\n\n2.128\n\n1.919\n\n2.17\n\n1.152\n\n1.91\n\n1.775\n\n2.314\n\n3.553\n\n3.484\n\n2.242\n\n2.419\n\n2.862\n\n2.356\n\n2.32\n\n2.419\n\n1.636\n\n1.726\n\n1.64\n\n1.401\n\n2.468\n\n2.739\n\n2.714\n\n2.727\n\n2.994\n\n2.762\n\n5.00001\n\n5.00001\n\n3.277\n\n4.25\n\n3.612\n\n3.627\n\n4.183\n\n3.614\n\n2.993\n\n2.915\n\n2.607\n\n4.163\n\n2.881\n\n2.985\n\n1.78\n\n1.62\n\n2.023\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n0.787\n\n0.648\n\n0.865\n\n0.981\n\n0.816\n\n1.184\n\n0.758\n\n1.416\n\n0.604\n\n0.598\n\n0.977\n\n0.985\n\n0.765\n\n0.613\n\n0.948\n\n1.333\n\n0.979\n\n1.118\n\n1.2\n\n1.237\n\n1.613\n\n1.95\n\n1.713\n\n1.617\n\n1.397\n\n2.132\n\n2.505\n\n2.14\n\n2.271\n\n1.681\n\n2.598\n\n3.309\n\n2.542\n\n2.483\n\n1.354\n\n1.974\n\n1.856\n\n1.438\n\n2.408\n\n1.951\n\n1.832\n\n2.878\n\n2.28\n\n1.719\n\n0.927\n\n1.481\n\n0.839\n\n0.699\n\n1.19\n\n1.459\n\n0.764\n\n1.275\n\n0.641\n\n0.922\n\n0.556\n\n0.889\n\n0.649\n\n0.516\n\n0.583\n\n0.503\n\n0.541\n\n0.498\n\n0.533\n\n1.734\n\n1.625\n\n1.493\n\n1.805\n\n1.461\n\n1.75\n\n4.521\n\n3.027\n\n3.439\n\n2.765\n\n0.743\n\n0.823\n\n1.791\n\n0.596\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5472372706601346, "id": "", "name": "cube60_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube60_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:45.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:98.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e686\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.585\n\n0.975\n\n1.838\n\n1.7\n\n2.578\n\n3.357\n\n2.55\n\n2.185\n\n2.341\n\n1.117\n\n1.023\n\n0.824\n\n3.5\n\n2.875\n\n2.417\n\n4.125\n\n2.027\n\n1.625\n\n1.598\n\n2.344\n\n2.365\n\n1.514\n\n2.318\n\n4.429\n\n3.373\n\n2.994\n\n1.393\n\n3.275\n\n1.073\n\n0.899\n\n0.889\n\n0.745\n\n1.163\n\n0.813\n\n0.663\n\n1.597\n\n1.423\n\n0.451\n\n0.538\n\n1.306\n\n1.863\n\n2.051\n\n0.877\n\n2.941\n\n1.861\n\n1.82\n\n1.793\n\n2.674\n\n2.328\n\n3.562\n\n4.694\n\n3.593\n\n3.982\n\n4.553\n\n3.944\n\n4.541\n\n4.854\n\n3.107\n\n1.975\n\n1.725\n\n1.989\n\n2.306\n\n1.402\n\n1.322\n\n0.5\n\n0.466\n\n0.491\n\n0.508\n\n0.759\n\n0.619\n\n1.935\n\n1.45\n\n1.742\n\n1.567\n\n0.647\n\n0.552\n\n0.675\n\n0.656\n\n0.587\n\n0.622\n\n0.843\n\n0.912\n\n0.552\n\n0.573\n\n0.622\n\n0.55\n\n0.818\n\n0.973\n\n0.859\n\n1.057\n\n0.618\n\n1.458\n\n1.467\n\n1.443\n\n1.409\n\n1.472\n\n1.481\n\n1.364\n\n1.386\n\n1.585\n\n4.318\n\n3.74\n\n4.507\n\n3.412\n\n3.528\n\n4.199\n\n4.835\n\n2.753\n\n2.059\n\n1.542\n\n3.9\n\n5.00001\n\n1.979\n\n4.107\n\n2.375\n\n5.00001\n\n2.5\n\n2.047\n\n5.00001\n\n5.00001\n\n1.6\n\n2.192\n\n1.667\n\n1.53\n\n1.425\n\n1.472\n\n1.516\n\n1.307\n\n1.859\n\n1.75\n\n2.25\n\n1.589\n\n1.625\n\n2.125\n\n1.417\n\n3.5\n\n1.375\n\n3.289\n\n1.577\n\n5.00001\n\n1.525\n\n1.237\n\n1.8\n\n1.219\n\n2.75\n\n1.475\n\n1.273\n\n1.365\n\n0.962\n\n1.143\n\n1.008\n\n0.992\n\n1.008\n\n0.996\n\n1.161\n\n1.133\n\n0.882\n\n0.985\n\n1.25\n\n1.229\n\n0.925\n\n0.875\n\n1.0\n\n5.00001\n\n5.00001\n\n1.28\n\n1.631\n\n4.514\n\n1.219\n\n1.107\n\n1.241\n\n1.607\n\n1.569\n\n1.311\n\n5.00001\n\n1.844\n\n1.542\n\n1.745\n\n1.739\n\n1.658\n\n5.00001\n\n1.625\n\n1.5\n\n2.214\n\n1.213\n\n1.375\n\n1.543\n\n1.432\n\n1.75\n\n0.929\n\n1.219\n\n1.546\n\n1.76\n\n1.56\n\n1.911\n\n1.609\n\n1.875\n\n1.717\n\n1.693\n\n1.099\n\n1.3\n\n0.893\n\n1.0\n\n1.032\n\n1.032\n\n0.951\n\n1.404\n\n1.201\n\n1.368\n\n1.306\n\n1.397\n\n1.159\n\n1.183\n\n3.1\n\n1.485\n\n1.422\n\n1.857\n\n3.364\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.687\n\n2.932\n\n3.242\n\n4.392\n\n2.896\n\n2.713\n\n5.00001\n\n1.407\n\n1.044\n\n1.246\n\n1.429\n\n1.405\n\n1.761\n\n1.311\n\n0.714\n\n0.873\n\n0.885\n\n0.627\n\n0.571\n\n1.305\n\n1.192\n\n1.304\n\n1.369\n\n1.77\n\n1.298\n\n1.341\n\n1.027\n\n1.0\n\n3.988\n\n2.589\n\n1.625\n\n4.102\n\n3.531\n\n4.366\n\n3.873\n\n3.413\n\n4.206\n\n3.3\n\n3.547\n\n4.541\n\n3.551\n\n3.449\n\n2.257\n\n3.58\n\n3.757\n\n3.134\n\n2.556\n\n5.00001\n\n3.454\n\n1.813\n\n1.528\n\n1.849\n\n1.821\n\n1.835\n\n1.775\n\n1.74\n\n1.506\n\n1.591\n\n1.714\n\n1.725\n\n1.591\n\n1.625\n\n1.705\n\n1.584\n\n1.606\n\n1.799\n\n1.785\n\n1.518\n\n1.594\n\n1.403\n\n1.589\n\n1.025\n\n1.63\n\n1.701\n\n3.495\n\n1.708\n\n3.5\n\n1.678\n\n1.597\n\n3.195\n\n3.905\n\n3.506\n\n2.375\n\n4.379\n\n1.375\n\n3.674\n\n2.644\n\n3.348\n\n1.987\n\n2.014\n\n0.978\n\n2.398\n\n0.979\n\n1.265\n\n0.815\n\n1.509\n\n0.959\n\n0.694\n\n0.944\n\n1.089\n\n1.463\n\n0.611\n\n1.125\n\n0.659\n\n1.241\n\n1.994\n\n1.252\n\n1.042\n\n0.991\n\n0.83\n\n1.28\n\n1.523\n\n0.918\n\n0.98\n\n0.934\n\n0.694\n\n0.689\n\n0.822\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.841\n\n0.878\n\n0.783\n\n0.525\n\n0.703\n\n0.788\n\n0.673\n\n0.668\n\n0.697\n\n1.098\n\n0.931\n\n0.55\n\n1.795\n\n0.896\n\n1.042\n\n1.145\n\n1.414\n\n1.705\n\n1.1\n\n0.676\n\n0.609\n\n0.919\n\n1.07\n\n2.323\n\n1.429\n\n0.825\n\n1.627\n\n2.432\n\n2.631\n\n1.275\n\n0.925\n\n1.38\n\n1.444\n\n1.504\n\n1.481\n\n1.346\n\n1.924\n\n2.254\n\n2.863\n\n4.067\n\n1.025\n\n1.951\n\n2.023\n\n2.252\n\n1.055\n\n0.92\n\n0.878\n\n1.102\n\n1.431\n\n1.172\n\n2.696\n\n1.035\n\n1.309\n\n1.265\n\n1.671\n\n0.596\n\n1.031\n\n0.608\n\n0.696\n\n0.65\n\n0.733\n\n0.724\n\n0.978\n\n1.861\n\n1.128\n\n0.785\n\n1.991\n\n1.781\n\n1.35\n\n0.913\n\n0.992\n\n0.924\n\n1.855\n\n0.896\n\n1.234\n\n1.43\n\n1.35\n\n1.25\n\n1.35\n\n1.794\n\n1.755\n\n1.063\n\n0.869\n\n0.833\n\n0.863\n\n1.375\n\n1.754\n\n1.604\n\n0.829\n\n3.25\n\n0.875\n\n1.598\n\n2.083\n\n4.74\n\n5.00001\n\n2.67\n\n1.146\n\n2.495\n\n2.415\n\n1.463\n\n1.569\n\n2.882\n\n2.43\n\n2.717\n\n1.488\n\n1.521\n\n1.38\n\n0.932\n\n1.404\n\n1.53\n\n1.091\n\n1.076\n\n1.226\n\n1.523\n\n2.662\n\n1.501\n\n1.192\n\n1.32\n\n1.182\n\n1.713\n\n1.208\n\n1.083\n\n1.5\n\n2.685\n\n2.786\n\n2.941\n\n2.387\n\n2.181\n\n3.442\n\n1.881\n\n1.856\n\n2.161\n\n1.171\n\n1.514\n\n2.05\n\n1.775\n\n1.272\n\n2.478\n\n2.145\n\n2.104\n\n2.796\n\n2.852\n\n1.748\n\n2.64\n\n2.875\n\n3.202\n\n3.356\n\n1.992\n\n1.582\n\n1.899\n\n1.165\n\n5.00001\n\n5.00001\n\n1.688\n\n3.8\n\n4.5\n\n2.875\n\n2.25\n\n4.0\n\n2.75\n\n2.25\n\n5.00001\n\n1.875\n\n4.429\n\n3.545\n\n4.0\n\n2.25\n\n3.25\n\n2.5\n\n3.861\n\n3.162\n\n2.7\n\n3.912\n\n2.667\n\n2.125\n\n2.5\n\n2.65\n\n2.361\n\n2.254\n\n1.404\n\n2.464\n\n2.518\n\n2.515\n\n3.351\n\n0.613\n\n0.638\n\n0.594\n\n0.813\n\n1.136\n\n0.483\n\n0.53\n\n0.739\n\n1.103\n\n0.946\n\n1.591\n\n1.176\n\n0.973\n\n0.941\n\n0.99\n\n1.301\n\n1.582\n\n2.836\n\n5.00001\n\n2.75\n\n1.464\n\n2.386\n\n3.07\n\n2.664\n\n2.708\n\n3.197\n\n5.00001\n\n3.45\n\n2.379\n\n5.00001\n\n3.058\n\n3.222\n\n3.748\n\n4.313\n\n4.359\n\n2.11\n\n4.433\n\n3.436\n\n1.606\n\n1.566\n\n3.943\n\n5.00001\n\n2.127\n\n1.373\n\n1.176\n\n0.985\n\n0.861\n\n2.136\n\n2.342\n\n3.97\n\n1.776\n\n1.734\n\n1.763\n\n2.128\n\n1.919\n\n2.17\n\n1.152\n\n1.91\n\n1.775\n\n2.314\n\n3.553\n\n2.242\n\n2.419\n\n2.862\n\n2.32\n\n2.419\n\n1.636\n\n1.726\n\n1.64\n\n1.401\n\n2.468\n\n2.739\n\n2.714\n\n2.727\n\n2.994\n\n2.762\n\n5.00001\n\n4.25\n\n3.612\n\n3.627\n\n4.183\n\n3.614\n\n2.993\n\n2.915\n\n2.607\n\n4.163\n\n2.881\n\n2.985\n\n1.78\n\n1.62\n\n2.023\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n0.648\n\n0.865\n\n0.981\n\n1.184\n\n0.977\n\n0.985\n\n0.948\n\n1.333\n\n1.118\n\n1.2\n\n1.237\n\n1.613\n\n1.95\n\n1.713\n\n1.397\n\n2.505\n\n2.14\n\n2.271\n\n1.681\n\n2.598\n\n3.309\n\n2.542\n\n2.483\n\n1.354\n\n1.974\n\n1.856\n\n1.438\n\n2.408\n\n1.951\n\n1.832\n\n2.878\n\n2.28\n\n1.719\n\n0.927\n\n0.839\n\n0.699\n\n1.19\n\n1.459\n\n0.764\n\n0.641\n\n0.922\n\n0.889\n\n0.649\n\n0.583\n\n0.503\n\n0.541\n\n0.498\n\n0.533\n\n1.734\n\n1.625\n\n1.493\n\n1.805\n\n1.461\n\n1.75\n\n4.521\n\n3.027\n\n3.439\n\n2.765\n\n0.743\n\n0.823\n\n1.791\n\n0.596\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.49712721269022564, "id": "", "name": "cube60_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube60_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e398\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n2.75\n\n1.734\n\n3.155\n\n2.168\n\n1.872\n\n1.821\n\n2.312\n\n2.534\n\n2.403\n\n2.54\n\n2.138\n\n3.334\n\n3.397\n\n3.529\n\n1.126\n\n1.178\n\n0.873\n\n1.114\n\n1.226\n\n1.688\n\n1.036\n\n2.042\n\n2.66\n\n1.125\n\n2.347\n\n3.069\n\n3.246\n\n3.513\n\n3.899\n\n2.042\n\n1.742\n\n1.333\n\n1.188\n\n0.506\n\n0.883\n\n0.845\n\n0.743\n\n0.694\n\n0.699\n\n1.034\n\n1.007\n\n0.816\n\n0.809\n\n1.182\n\n0.775\n\n1.573\n\n0.586\n\n0.598\n\n1.629\n\n1.158\n\n0.637\n\n1.662\n\n1.602\n\n4.286\n\n3.571\n\n2.621\n\n1.933\n\n2.451\n\n1.694\n\n1.83\n\n1.772\n\n1.813\n\n2.5\n\n1.583\n\n2.713\n\n1.629\n\n1.545\n\n1.868\n\n1.688\n\n2.833\n\n1.875\n\n3.5\n\n2.625\n\n1.667\n\n2.188\n\n1.583\n\n2.533\n\n2.406\n\n1.925\n\n1.448\n\n0.875\n\n1.375\n\n1.125\n\n1.1\n\n3.0\n\n1.667\n\n1.125\n\n1.875\n\n2.7\n\n2.5\n\n2.5\n\n2.292\n\n2.875\n\n2.583\n\n1.223\n\n1.188\n\n1.163\n\n3.5\n\n3.5\n\n5.00001\n\n2.15\n\n2.476\n\n1.673\n\n5.00001\n\n2.221\n\n2.481\n\n2.219\n\n1.845\n\n2.519\n\n2.605\n\n1.233\n\n2.621\n\n1.426\n\n1.597\n\n1.416\n\n1.576\n\n1.81\n\n1.362\n\n3.604\n\n2.273\n\n1.435\n\n1.352\n\n1.578\n\n2.25\n\n1.816\n\n1.85\n\n2.037\n\n1.716\n\n1.265\n\n1.322\n\n1.506\n\n1.721\n\n1.585\n\n1.42\n\n1.521\n\n1.327\n\n1.136\n\n1.933\n\n1.174\n\n1.577\n\n1.142\n\n1.607\n\n1.483\n\n1.708\n\n3.374\n\n3.196\n\n2.865\n\n1.183\n\n1.537\n\n1.417\n\n1.167\n\n1.862\n\n1.462\n\n1.797\n\n1.494\n\n1.607\n\n1.437\n\n1.639\n\n2.864\n\n5.00001\n\n5.00001\n\n2.283\n\n3.855\n\n1.151\n\n1.401\n\n1.411\n\n1.403\n\n1.327\n\n1.676\n\n1.429\n\n1.543\n\n2.394\n\n3.112\n\n0.849\n\n2.879\n\n3.015\n\n2.098\n\n1.188\n\n3.14\n\n4.143\n\n1.096\n\n0.728\n\n0.797\n\n0.798\n\n1.603\n\n1.085\n\n1.276\n\n2.017\n\n4.5\n\n1.486\n\n2.439\n\n2.832\n\n2.046\n\n2.379\n\n2.166\n\n3.092\n\n2.374\n\n2.399\n\n2.913\n\n2.184\n\n1.978\n\n1.821\n\n1.585\n\n1.656\n\n1.833\n\n1.768\n\n1.604\n\n1.938\n\n1.867\n\n1.741\n\n2.151\n\n1.468\n\n2.296\n\n1.794\n\n1.479\n\n0.859\n\n2.196\n\n1.713\n\n1.391\n\n1.691\n\n1.392\n\n1.448\n\n1.591\n\n1.953\n\n2.236\n\n2.165\n\n1.326\n\n1.633\n\n1.555\n\n1.272\n\n1.132\n\n1.246\n\n1.215\n\n1.364\n\n1.042\n\n1.687\n\n1.326\n\n1.742\n\n0.77\n\n1.131\n\n0.953\n\n1.234\n\n1.59\n\n1.745\n\n0.68\n\n0.824\n\n0.904\n\n0.879\n\n1.16\n\n1.063\n\n1.089\n\n0.966\n\n0.933\n\n1.166\n\n1.466\n\n1.361\n\n1.034\n\n0.978\n\n2.549\n\n2.522\n\n1.655\n\n1.63\n\n1.289\n\n1.278\n\n1.589\n\n1.016\n\n1.614\n\n1.217\n\n0.911\n\n1.052\n\n1.405\n\n1.258\n\n1.332\n\n1.307\n\n1.332\n\n0.888\n\n0.857\n\n0.93\n\n0.404\n\n1.402\n\n0.695\n\n0.925\n\n1.118\n\n1.257\n\n1.297\n\n0.982\n\n0.872\n\n1.0\n\n1.098\n\n1.795\n\n0.883\n\n1.337\n\n1.036\n\n1.519\n\n1.398\n\n2.216\n\n1.414\n\n1.873\n\n1.447\n\n1.663\n\n2.269\n\n1.098\n\n2.5\n\n1.661\n\n1.517\n\n1.464\n\n1.943\n\n1.757\n\n2.415\n\n2.813\n\n2.621\n\n1.785\n\n1.507\n\n1.709\n\n1.826\n\n2.375\n\n2.558\n\n1.299\n\n1.353\n\n0.985\n\n1.435\n\n1.996\n\n2.625\n\n1.667\n\n1.645\n\n2.433\n\n2.034\n\n1.579\n\n1.948\n\n2.773\n\n2.506\n\n2.67\n\n2.979\n\n3.043\n\n2.979\n\n2.847\n\n2.526\n\n3.01\n\n3.533\n\n2.62\n\n2.362\n\n2.724\n\n3.228\n\n2.728\n\n1.89\n\n3.451\n\n1.926\n\n1.858\n\n2.531\n\n1.601\n\n1.596\n\n1.838\n\n2.766\n\n2.574\n\n2.641\n\n2.798\n\n2.675\n\n5.00001\n\n2.394\n\n3.277\n\n2.801\n\n2.388\n\n3.931\n\n2.603\n\n1.601\n\n3.518\n\n1.316\n\n1.617\n\n1.298\n\n1.296\n\n1.266\n\n1.379\n\n1.583\n\n2.023\n\n1.841\n\n1.91\n\n1.609\n\n1.519\n\n1.955\n\n1.422\n\n1.481\n\n1.271\n\n1.065\n\n1.107\n\n4.233\n\n1.791\n\n1.873\n\n2.054\n\n3.119\n\n2.842\n\n2.931\n\n3.208\n\n0.691\n\n2.043\n\n1.641\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5010033100960885, "id": "", "name": "cube61_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube61_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e164\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n2.534\n\n2.403\n\n2.54\n\n2.138\n\n3.334\n\n3.529\n\n1.126\n\n2.042\n\n2.347\n\n0.883\n\n0.743\n\n0.694\n\n0.699\n\n1.034\n\n1.007\n\n0.816\n\n0.809\n\n0.775\n\n1.158\n\n2.621\n\n1.933\n\n2.451\n\n1.694\n\n1.83\n\n2.713\n\n1.629\n\n1.545\n\n1.875\n\n3.5\n\n2.625\n\n1.925\n\n1.667\n\n1.875\n\n2.5\n\n2.292\n\n1.673\n\n5.00001\n\n2.221\n\n2.481\n\n1.845\n\n2.519\n\n1.426\n\n1.597\n\n1.81\n\n2.273\n\n1.435\n\n2.25\n\n1.816\n\n1.721\n\n1.933\n\n1.174\n\n1.577\n\n1.483\n\n1.708\n\n3.196\n\n2.865\n\n1.462\n\n1.437\n\n2.864\n\n5.00001\n\n5.00001\n\n2.283\n\n1.151\n\n1.411\n\n1.676\n\n1.429\n\n1.543\n\n2.394\n\n3.112\n\n2.098\n\n1.188\n\n0.797\n\n0.798\n\n1.603\n\n2.832\n\n2.046\n\n2.379\n\n3.092\n\n2.374\n\n2.399\n\n2.184\n\n1.604\n\n1.938\n\n1.867\n\n2.151\n\n1.479\n\n1.713\n\n1.691\n\n1.392\n\n1.448\n\n1.591\n\n2.165\n\n1.633\n\n1.272\n\n1.132\n\n1.215\n\n1.326\n\n0.953\n\n1.234\n\n0.68\n\n0.824\n\n0.904\n\n0.879\n\n1.16\n\n1.089\n\n0.966\n\n0.933\n\n1.361\n\n1.034\n\n2.549\n\n1.655\n\n1.289\n\n1.614\n\n1.052\n\n1.258\n\n1.332\n\n0.888\n\n0.925\n\n0.883\n\n1.398\n\n1.098\n\n2.5\n\n1.661\n\n1.464\n\n1.943\n\n2.813\n\n2.621\n\n1.785\n\n1.709\n\n1.353\n\n0.985\n\n1.435\n\n1.996\n\n1.667\n\n1.645\n\n2.034\n\n2.773\n\n2.506\n\n2.67\n\n3.01\n\n2.62\n\n2.362\n\n2.724\n\n3.228\n\n1.89\n\n1.858\n\n2.766\n\n2.574\n\n2.798\n\n2.603\n\n1.316\n\n1.298\n\n1.296\n\n1.266\n\n1.609\n\n1.519\n\n1.955\n\n1.422\n\n1.271\n\n1.791\n\n3.119\n\n2.842\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.53544260865352, "id": "", "name": "cube61_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube61_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:86.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e17.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e34\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.872\n\n1.924\n\n0.872\n\n1.549\n\n2.275\n\n3.0\n\n2.783\n\n1.362\n\n1.867\n\n1.639\n\n3.613\n\n1.2\n\n1.455\n\n1.879\n\n1.622\n\n1.979\n\n1.195\n\n1.499\n\n1.246\n\n1.327\n\n1.878\n\n1.372\n\n1.577\n\n1.235\n\n1.576\n\n1.038\n\n1.504\n\n1.687\n\n1.5\n\n2.611\n\n2.185\n\n2.239\n\n2.17\n\n2.043\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4144234562859497, "id": "", "name": "cube62_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube62_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.872\n\n2.275\n\n1.867\n\n1.879\n\n1.979\n\n1.878\n\n1.577\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5790770593813377, "id": "", "name": "cube62_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube62_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e57.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.783\n\n3.613\n\n1.327\n\n1.372\n\n1.576\n\n1.038\n\n1.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.524486366504453, "id": "", "name": "cube63_cluster1", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube63_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:32.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:82.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:58.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3686\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5416982306060192, "id": "", "name": "cube63_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube63_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1922\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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2\n\n1.58\n\n2.298\n\n2.38\n\n2.341\n\n2.545\n\n2.645\n\n1.984\n\n2.375\n\n4.05\n\n4.764\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.555\n\n3.806\n\n3.32\n\n3.114\n\n3.277\n\n2.327\n\n2.222\n\n2.708\n\n3.519\n\n1.656\n\n5.00001\n\n3.141\n\n4.637\n\n3.187\n\n3.612\n\n3.627\n\n5.00001\n\n3.48\n\n3.559\n\n3.056\n\n2.538\n\n2.993\n\n2.346\n\n2.452\n\n2.741\n\n2.24\n\n2.215\n\n2.097\n\n1.844\n\n2.826\n\n2.518\n\n2.915\n\n2.171\n\n2.607\n\n4.163\n\n3.217\n\n3.868\n\n2.798\n\n2.985\n\n1.986\n\n3.05\n\n1.953\n\n1.843\n\n1.948\n\n1.784\n\n2.023\n\n3.833\n\n3.211\n\n1.184\n\n0.598\n\n0.977\n\n0.765\n\n0.613\n\n1.719\n\n0.948\n\n0.9\n\n1.625\n\n0.928\n\n0.979\n\n1.037\n\n1.118\n\n1.219\n\n1.903\n\n1.613\n\n1.95\n\n1.713\n\n1.734\n\n1.35\n\n1.44\n\n1.348\n\n1.404\n\n1.397\n\n1.201\n\n1.421\n\n1.306\n\n1.22\n\n2.188\n\n1.757\n\n1.785\n\n1.464\n\n2.132\n\n3.066\n\n2.463\n\n2.345\n\n2.68\n\n3.177\n\n1.625\n\n1.576\n\n1.355\n\n1.545\n\n2.271\n\n1.654\n\n1.681\n\n2.159\n\n2.084\n\n2.598\n\n1.943\n\n2.483\n\n2.521\n\n1.783\n\n1.469\n\n1.992\n\n2.131\n\n1.423\n\n1.836\n\n1.702\n\n3.453\n\n1.856\n\n1.432\n\n1.438\n\n1.573\n\n1.65\n\n2.508\n\n2.138\n\n1.688\n\n2.446\n\n1.719\n\n1.644\n\n0.927\n\n0.815\n\n1.744\n\n1.501\n\n1.464\n\n1.609\n\n1.383\n\n1.385\n\n1.481\n\n1.143\n\n1.186\n\n0.699\n\n1.07\n\n0.65\n\n0.588\n\n0.809\n\n0.749\n\n0.737\n\n0.813\n\n0.541\n\n1.293\n\n0.629\n\n0.821\n\n1.748\n\n1.436\n\n0.968\n\n1.619\n\n0.828\n\n0.764\n\n1.046\n\n1.275\n\n1.107\n\n0.53\n\n1.001\n\n0.891\n\n0.929\n\n1.148\n\n0.641\n\n0.58\n\n0.725\n\n0.772\n\n0.417\n\n0.62\n\n0.518\n\n0.517\n\n0.533\n\n0.652\n\n1.266\n\n0.631\n\n0.541\n\n0.802\n\n0.541\n\n0.446\n\n0.544\n\n0.71\n\n0.431\n\n0.533\n\n0.476\n\n1.734\n\n2.034\n\n1.653\n\n2.205\n\n1.674\n\n5.00001\n\n1.805\n\n1.811\n\n1.724\n\n3.058\n\n1.868\n\n1.82\n\n3.912\n\n1.771\n\n3.19\n\n2.994\n\n3.585\n\n4.521\n\n3.12\n\n3.027\n\n3.429\n\n3.16\n\n3.539\n\n2.426\n\n2.802\n\n1.964\n\n2.581\n\n2.644\n\n2.23\n\n3.439\n\n2.765\n\n0.802\n\n0.764\n\n1.159\n\n3.265\n\n1.791\n\n2.265\n\n1.079\n\n1.206\n\n1.525\n\n1.194\n\n1.65\n\n1.334\n\n1.273\n\n0.888\n\n0.697\n\n0.596\n\n0.612\n\n0.575\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5415561819475598, "id": "", "name": "cube64_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube64_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1275\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.49683533517896306, "id": "", "name": "cube64_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube64_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e580\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.734\n\n2.31\n\n3.539\n\n2.168\n\n1.619\n\n2.089\n\n2.312\n\n2.403\n\n2.54\n\n2.208\n\n1.931\n\n2.482\n\n2.08\n\n1.817\n\n2.994\n\n3.23\n\n3.397\n\n2.642\n\n1.114\n\n1.226\n\n0.813\n\n0.72\n\n1.036\n\n1.431\n\n1.861\n\n2.66\n\n1.82\n\n1.849\n\n2.948\n\n1.9\n\n1.578\n\n1.333\n\n1.975\n\n1.188\n\n0.69\n\n0.883\n\n0.845\n\n0.647\n\n0.993\n\n1.322\n\n1.234\n\n0.699\n\n1.429\n\n1.007\n\n0.936\n\n0.748\n\n1.182\n\n0.969\n\n1.573\n\n0.586\n\n1.3\n\n0.637\n\n0.455\n\n1.615\n\n2.287\n\n1.662\n\n1.648\n\n1.571\n\n1.602\n\n4.286\n\n2.542\n\n2.909\n\n2.613\n\n3.571\n\n2.621\n\n2.766\n\n2.303\n\n2.545\n\n1.933\n\n2.753\n\n2.451\n\n1.546\n\n1.576\n\n1.837\n\n1.817\n\n2.317\n\n1.653\n\n0.938\n\n2.211\n\n2.335\n\n2.271\n\n1.898\n\n1.835\n\n2.08\n\n3.749\n\n1.745\n\n1.893\n\n5.00001\n\n3.183\n\n1.545\n\n1.868\n\n1.688\n\n2.5\n\n1.667\n\n1.875\n\n2.304\n\n1.583\n\n1.984\n\n2.533\n\n2.406\n\n2.475\n\n2.583\n\n1.575\n\n1.925\n\n1.732\n\n1.565\n\n1.466\n\n1.516\n\n1.625\n\n1.75\n\n1.667\n\n1.75\n\n1.125\n\n4.75\n\n3.222\n\n3.6\n\n2.5\n\n2.292\n\n1.525\n\n2.583\n\n1.223\n\n1.188\n\n1.188\n\n5.00001\n\n5.00001\n\n3.5\n\n4.1\n\n3.0\n\n3.2\n\n2.75\n\n3.109\n\n2.712\n\n3.517\n\n2.15\n\n2.167\n\n1.631\n\n2.905\n\n4.622\n\n4.727\n\n2.098\n\n2.481\n\n2.219\n\n1.845\n\n4.462\n\n2.065\n\n2.519\n\n1.721\n\n2.605\n\n2.487\n\n3.499\n\n1.568\n\n2.23\n\n2.311\n\n1.568\n\n2.395\n\n0.98\n\n1.308\n\n1.107\n\n1.297\n\n2.129\n\n2.821\n\n2.621\n\n2.644\n\n1.426\n\n1.394\n\n1.522\n\n1.605\n\n1.599\n\n1.629\n\n1.81\n\n1.688\n\n1.541\n\n1.993\n\n1.719\n\n1.683\n\n1.529\n\n3.604\n\n1.867\n\n2.132\n\n2.738\n\n2.273\n\n2.228\n\n1.831\n\n1.844\n\n1.563\n\n1.352\n\n1.745\n\n2.055\n\n1.581\n\n2.178\n\n2.046\n\n1.816\n\n1.85\n\n2.037\n\n1.716\n\n1.788\n\n4.037\n\n2.572\n\n3.189\n\n1.265\n\n1.456\n\n1.322\n\n1.543\n\n1.456\n\n1.75\n\n1.288\n\n1.585\n\n1.59\n\n1.894\n\n1.76\n\n1.42\n\n1.463\n\n1.717\n\n1.693\n\n1.327\n\n1.324\n\n1.136\n\n1.334\n\n2.035\n\n1.933\n\n2.131\n\n1.975\n\n2.051\n\n3.294\n\n2.3\n\n1.837\n\n1.577\n\n1.271\n\n1.142\n\n1.483\n\n1.708\n\n1.714\n\n2.973\n\n3.374\n\n3.138\n\n3.196\n\n2.865\n\n1.429\n\n1.563\n\n1.375\n\n1.176\n\n2.429\n\n1.537\n\n1.397\n\n2.188\n\n1.862\n\n1.547\n\n1.633\n\n1.797\n\n3.673\n\n1.375\n\n1.438\n\n1.494\n\n1.437\n\n1.372\n\n3.788\n\n5.00001\n\n4.183\n\n5.00001\n\n5.00001\n\n3.0\n\n2.813\n\n3.041\n\n3.855\n\n1.401\n\n1.403\n\n1.327\n\n1.485\n\n2.518\n\n2.394\n\n2.537\n\n1.996\n\n2.781\n\n3.233\n\n2.932\n\n3.242\n\n0.728\n\n0.797\n\n0.952\n\n1.599\n\n1.425\n\n1.603\n\n1.192\n\n1.897\n\n1.683\n\n3.875\n\n4.5\n\n1.421\n\n1.683\n\n1.486\n\n1.434\n\n2.695\n\n3.13\n\n2.439\n\n2.526\n\n2.682\n\n2.046\n\n2.574\n\n2.022\n\n1.972\n\n2.166\n\n2.479\n\n2.782\n\n1.625\n\n3.58\n\n2.471\n\n1.909\n\n3.454\n\n4.309\n\n2.13\n\n2.184\n\n2.492\n\n3.166\n\n1.167\n\n1.214\n\n1.768\n\n1.836\n\n1.604\n\n1.938\n\n2.512\n\n2.035\n\n1.829\n\n1.867\n\n1.741\n\n1.618\n\n1.904\n\n1.674\n\n1.865\n\n1.893\n\n2.909\n\n1.857\n\n1.43\n\n1.843\n\n1.359\n\n1.113\n\n2.196\n\n1.293\n\n1.628\n\n1.353\n\n1.455\n\n1.391\n\n1.691\n\n1.246\n\n1.392\n\n1.328\n\n1.953\n\n2.214\n\n1.371\n\n2.048\n\n1.381\n\n1.608\n\n2.236\n\n2.145\n\n1.326\n\n1.132\n\n1.17\n\n1.042\n\n1.092\n\n1.509\n\n1.475\n\n1.347\n\n1.215\n\n0.959\n\n1.121\n\n0.956\n\n0.948\n\n0.694\n\n0.783\n\n1.569\n\n2.179\n\n0.746\n\n1.063\n\n1.374\n\n1.2\n\n0.986\n\n1.585\n\n2.161\n\n1.247\n\n1.154\n\n1.39\n\n1.361\n\n1.38\n\n1.089\n\n1.924\n\n2.067\n\n1.655\n\n1.63\n\n2.023\n\n1.646\n\n1.787\n\n1.813\n\n1.278\n\n1.748\n\n1.589\n\n1.164\n\n1.341\n\n1.19\n\n1.016\n\n1.437\n\n1.217\n\n1.058\n\n1.055\n\n1.052\n\n1.126\n\n1.307\n\n1.265\n\n1.016\n\n1.065\n\n0.888\n\n0.994\n\n1.977\n\n0.857\n\n0.93\n\n1.102\n\n2.696\n\n1.309\n\n1.265\n\n0.695\n\n0.928\n\n1.244\n\n1.257\n\n1.297\n\n0.982\n\n0.719\n\n1.02\n\n0.933\n\n1.088\n\n0.872\n\n1.35\n\n1.591\n\n1.795\n\n1.641\n\n2.1\n\n1.337\n\n1.519\n\n1.355\n\n1.523\n\n1.297\n\n1.529\n\n0.983\n\n1.761\n\n1.276\n\n1.37\n\n1.873\n\n1.447\n\n1.713\n\n1.663\n\n1.406\n\n1.125\n\n1.388\n\n1.241\n\n1.083\n\n1.173\n\n1.546\n\n1.342\n\n1.464\n\n1.757\n\n1.678\n\n1.881\n\n1.785\n\n2.161\n\n1.516\n\n1.521\n\n2.541\n\n2.05\n\n1.775\n\n1.826\n\n0.916\n\n2.558\n\n2.852\n\n1.353\n\n1.911\n\n1.423\n\n2.625\n\n1.728\n\n1.645\n\n2.433\n\n2.173\n\n1.1\n\n1.39\n\n1.135\n\n2.616\n\n3.07\n\n2.777\n\n2.847\n\n2.526\n\n2.398\n\n3.01\n\n2.804\n\n2.813\n\n3.91\n\n4.04\n\n4.303\n\n2.932\n\n3.228\n\n2.728\n\n2.766\n\n3.436\n\n1.626\n\n3.451\n\n1.537\n\n2.136\n\n2.139\n\n2.342\n\n1.926\n\n1.858\n\n1.786\n\n2.419\n\n1.64\n\n1.596\n\n2.099\n\n1.717\n\n2.287\n\n2.645\n\n3.074\n\n3.021\n\n2.675\n\n2.675\n\n2.429\n\n2.794\n\n3.32\n\n2.394\n\n3.277\n\n2.558\n\n2.346\n\n2.388\n\n2.376\n\n3.217\n\n3.931\n\n3.868\n\n2.515\n\n2.985\n\n2.286\n\n1.948\n\n3.518\n\n1.719\n\n0.948\n\n1.625\n\n1.95\n\n1.713\n\n1.734\n\n1.298\n\n1.263\n\n1.379\n\n1.201\n\n1.22\n\n1.548\n\n1.609\n\n1.422\n\n0.927\n\n1.609\n\n1.481\n\n1.07\n\n0.813\n\n0.821\n\n1.436\n\n0.828\n\n1.065\n\n1.107\n\n2.276\n\n2.365\n\n2.034\n\n1.868\n\n2.205\n\n4.233\n\n2.054\n\n1.868\n\n3.912\n\n4.521\n\n3.119\n\n2.466\n\n2.931\n\n3.208\n\n2.426\n\n2.802\n\n2.23\n\n0.802\n\n1.159\n\n1.641\n\n1.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.44354352787416407, "id": "", "name": "cube65_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube65_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e17.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e78\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.403\n\n2.54\n\n0.883\n\n0.699\n\n0.748\n\n2.542\n\n2.613\n\n2.621\n\n2.545\n\n2.451\n\n1.546\n\n1.576\n\n1.898\n\n2.08\n\n1.745\n\n5.00001\n\n1.545\n\n1.925\n\n1.667\n\n2.292\n\n2.905\n\n2.098\n\n2.481\n\n2.065\n\n2.519\n\n1.568\n\n1.568\n\n2.821\n\n1.426\n\n1.81\n\n1.993\n\n2.228\n\n1.831\n\n1.334\n\n2.131\n\n1.975\n\n3.294\n\n1.837\n\n1.577\n\n1.483\n\n1.714\n\n3.196\n\n1.437\n\n3.788\n\n5.00001\n\n4.183\n\n5.00001\n\n1.996\n\n1.897\n\n2.046\n\n1.972\n\n2.13\n\n1.214\n\n1.836\n\n1.867\n\n1.904\n\n1.857\n\n1.691\n\n1.132\n\n1.361\n\n1.646\n\n1.052\n\n0.888\n\n1.464\n\n1.785\n\n1.516\n\n1.353\n\n3.01\n\n3.228\n\n1.858\n\n1.786\n\n1.298\n\n1.609\n\n1.422\n\n2.276\n\n1.868\n\n3.119\n\n2.466\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4082271427879258, "id": "", "name": "cube65_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube65_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e22.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e35\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.007\n\n2.303\n\n1.933\n\n2.335\n\n2.271\n\n1.845\n\n2.23\n\n2.311\n\n2.395\n\n2.129\n\n2.783\n\n1.688\n\n1.719\n\n2.273\n\n1.581\n\n1.816\n\n3.189\n\n1.933\n\n1.708\n\n2.865\n\n2.394\n\n1.879\n\n0.797\n\n1.603\n\n2.184\n\n1.604\n\n1.938\n\n2.512\n\n1.674\n\n1.195\n\n1.392\n\n1.371\n\n1.655\n\n1.645\n\n2.17\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3046174717767334, "id": "", "name": "cube66_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube66_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.783\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.44377150055719755, "id": "", "name": "cube66_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube66_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.879\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5138420170716124, "id": "", "name": "cube67_cluster0", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube67_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5777\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5291349246059662, "id": "", "name": "cube67_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube67_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2941\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5276349916122604, "id": "", "name": "cube68_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube68_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1676\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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", "type": "circle"}, {"color": 0.4772614359590295, "id": "", "name": "cube68_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube68_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e654\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.284\n\n2.31\n\n3.539\n\n2.917\n\n2.525\n\n1.905\n\n1.703\n\n1.619\n\n2.089\n\n2.125\n\n2.202\n\n2.697\n\n2.312\n\n1.894\n\n2.208\n\n2.36\n\n3.324\n\n2.222\n\n1.969\n\n2.235\n\n2.435\n\n2.185\n\n3.23\n\n2.002\n\n1.884\n\n0.72\n\n1.5\n\n1.139\n\n1.664\n\n2.732\n\n1.667\n\n1.446\n\n2.521\n\n2.603\n\n2.66\n\n2.948\n\n1.732\n\n1.9\n\n1.578\n\n1.291\n\n1.414\n\n0.69\n\n0.808\n\n0.788\n\n0.837\n\n0.993\n\n0.79\n\n1.046\n\n0.676\n\n1.234\n\n1.429\n\n0.828\n\n0.936\n\n0.7\n\n0.748\n\n0.969\n\n0.547\n\n0.857\n\n0.872\n\n1.3\n\n0.455\n\n2.287\n\n1.663\n\n1.583\n\n1.648\n\n2.356\n\n2.116\n\n1.632\n\n1.803\n\n2.034\n\n1.543\n\n1.601\n\n1.941\n\n1.833\n\n1.9\n\n3.44\n\n1.521\n\n2.542\n\n2.909\n\n2.613\n\n2.715\n\n2.766\n\n2.545\n\n1.688\n\n2.29\n\n3.231\n\n1.707\n\n1.546\n\n1.837\n\n1.755\n\n1.819\n\n1.724\n\n1.716\n\n2.119\n\n2.215\n\n2.317\n\n1.653\n\n1.742\n\n2.215\n\n2.652\n\n1.854\n\n1.405\n\n2.212\n\n2.021\n\n0.938\n\n2.211\n\n2.817\n\n2.737\n\n2.271\n\n1.898\n\n2.993\n\n3.384\n\n3.361\n\n1.835\n\n2.08\n\n1.745\n\n1.893\n\n5.00001\n\n3.183\n\n1.769\n\n2.521\n\n1.854\n\n1.871\n\n1.625\n\n2.111\n\n2.5\n\n1.875\n\n2.125\n\n1.739\n\n5.00001\n\n1.705\n\n1.843\n\n1.792\n\n1.708\n\n1.488\n\n1.565\n\n1.428\n\n1.625\n\n2.167\n\n2.531\n\n2.823\n\n3.056\n\n1.75\n\n5.00001\n\n3.6\n\n1.727\n\n1.875\n\n1.139\n\n1.185\n\n1.679\n\n0.99\n\n1.014\n\n5.00001\n\n5.00001\n\n5.0\n\n2.688\n\n3.2\n\n4.5\n\n2.25\n\n2.431\n\n3.109\n\n2.712\n\n3.517\n\n2.857\n\n1.759\n\n1.654\n\n3.462\n\n2.905\n\n2.852\n\n2.8\n\n2.387\n\n2.554\n\n2.866\n\n2.224\n\n1.929\n\n2.195\n\n2.29\n\n2.181\n\n4.462\n\n2.469\n\n1.498\n\n2.487\n\n3.499\n\n1.568\n\n2.221\n\n2.23\n\n1.926\n\n2.311\n\n2.757\n\n1.568\n\n2.148\n\n1.135\n\n1.308\n\n1.35\n\n1.133\n\n1.297\n\n1.136\n\n2.129\n\n2.644\n\n1.733\n\n1.807\n\n1.176\n\n1.394\n\n1.458\n\n1.584\n\n1.613\n\n1.605\n\n1.418\n\n1.599\n\n1.878\n\n2.044\n\n4.912\n\n1.668\n\n1.782\n\n1.541\n\n1.993\n\n2.154\n\n2.261\n\n1.529\n\n1.867\n\n2.84\n\n2.738\n\n2.228\n\n1.841\n\n1.686\n\n1.423\n\n1.563\n\n2.132\n\n1.882\n\n3.197\n\n1.7\n\n2.178\n\n1.884\n\n2.017\n\n2.046\n\n2.08\n\n2.271\n\n2.023\n\n1.788\n\n1.833\n\n1.685\n\n4.037\n\n1.888\n\n3.726\n\n1.603\n\n1.54\n\n1.556\n\n1.697\n\n2.082\n\n1.342\n\n1.787\n\n1.456\n\n1.699\n\n1.844\n\n1.784\n\n1.62\n\n1.694\n\n1.894\n\n1.642\n\n1.662\n\n1.621\n\n1.102\n\n1.324\n\n1.056\n\n1.334\n\n2.035\n\n2.131\n\n1.692\n\n1.944\n\n2.051\n\n2.182\n\n3.294\n\n2.177\n\n2.159\n\n2.086\n\n1.922\n\n2.3\n\n1.837\n\n1.656\n\n1.271\n\n1.509\n\n1.319\n\n1.714\n\n2.973\n\n3.138\n\n2.842\n\n2.887\n\n2.937\n\n2.751\n\n2.109\n\n1.684\n\n1.429\n\n1.369\n\n1.563\n\n1.519\n\n1.381\n\n1.375\n\n1.975\n\n1.418\n\n1.176\n\n1.991\n\n2.429\n\n2.188\n\n1.633\n\n3.673\n\n1.0\n\n1.375\n\n1.477\n\n1.513\n\n1.772\n\n1.798\n\n1.425\n\n1.523\n\n2.045\n\n1.372\n\n4.345\n\n4.178\n\n3.289\n\n3.788\n\n5.00001\n\n2.711\n\n4.168\n\n5.00001\n\n5.00001\n\n3.833\n\n3.041\n\n1.594\n\n1.3\n\n2.184\n\n1.485\n\n1.372\n\n2.201\n\n2.537\n\n1.996\n\n2.281\n\n2.781\n\n2.829\n\n3.233\n\n4.411\n\n0.675\n\n0.988\n\n0.952\n\n1.599\n\n1.529\n\n1.481\n\n2.023\n\n1.683\n\n2.552\n\n3.477\n\n1.421\n\n1.683\n\n1.748\n\n1.629\n\n3.067\n\n2.695\n\n3.13\n\n2.0\n\n2.061\n\n2.526\n\n2.682\n\n1.431\n\n2.574\n\n2.022\n\n1.972\n\n2.578\n\n2.04\n\n2.773\n\n2.393\n\n3.782\n\n1.909\n\n2.716\n\n2.13\n\n2.492\n\n2.433\n\n2.331\n\n1.167\n\n2.331\n\n2.528\n\n1.836\n\n1.464\n\n2.512\n\n2.035\n\n2.023\n\n1.647\n\n1.575\n\n1.722\n\n1.829\n\n1.739\n\n1.903\n\n1.84\n\n1.914\n\n1.907\n\n1.779\n\n1.904\n\n1.674\n\n1.865\n\n1.795\n\n2.072\n\n1.521\n\n2.258\n\n2.909\n\n2.678\n\n2.378\n\n2.956\n\n3.8\n\n2.649\n\n2.376\n\n2.404\n\n1.901\n\n1.857\n\n1.78\n\n1.843\n\n1.392\n\n1.051\n\n0.924\n\n1.225\n\n1.139\n\n1.487\n\n1.628\n\n1.455\n\n2.032\n\n1.356\n\n1.246\n\n1.147\n\n1.58\n\n1.17\n\n1.07\n\n1.771\n\n1.371\n\n2.048\n\n1.503\n\n1.381\n\n1.845\n\n0.869\n\n1.17\n\n1.006\n\n1.092\n\n1.897\n\n1.095\n\n1.215\n\n1.376\n\n1.121\n\n0.956\n\n0.734\n\n0.546\n\n1.569\n\n2.179\n\n1.789\n\n0.746\n\n1.374\n\n1.188\n\n1.464\n\n1.621\n\n1.505\n\n1.585\n\n2.161\n\n1.432\n\n1.247\n\n0.999\n\n1.39\n\n1.59\n\n1.156\n\n1.135\n\n1.345\n\n2.067\n\n1.373\n\n1.63\n\n1.931\n\n1.625\n\n1.27\n\n0.981\n\n1.0\n\n1.58\n\n1.646\n\n1.569\n\n1.557\n\n1.813\n\n1.748\n\n1.164\n\n1.207\n\n1.138\n\n1.164\n\n1.275\n\n1.126\n\n1.265\n\n1.332\n\n1.016\n\n1.115\n\n1.145\n\n0.994\n\n1.611\n\n1.065\n\n1.027\n\n1.358\n\n1.08\n\n1.03\n\n1.167\n\n1.019\n\n0.908\n\n1.004\n\n0.931\n\n0.719\n\n0.933\n\n1.088\n\n0.653\n\n0.84\n\n0.668\n\n0.69\n\n2.91\n\n1.404\n\n1.641\n\n2.1\n\n1.559\n\n1.283\n\n0.983\n\n1.276\n\n1.37\n\n1.406\n\n1.125\n\n1.644\n\n1.352\n\n1.241\n\n1.173\n\n1.342\n\n2.854\n\n1.813\n\n1.678\n\n2.458\n\n1.521\n\n1.739\n\n1.585\n\n2.128\n\n1.363\n\n1.877\n\n1.423\n\n3.919\n\n5.0\n\n1.1\n\n0.921\n\n1.39\n\n1.415\n\n1.621\n\n1.135\n\n2.616\n\n2.762\n\n2.324\n\n2.398\n\n2.73\n\n3.021\n\n2.425\n\n2.348\n\n3.91\n\n4.303\n\n2.932\n\n4.38\n\n5.00001\n\n3.086\n\n2.797\n\n1.064\n\n1.537\n\n2.139\n\n2.821\n\n2.5\n\n1.758\n\n2.276\n\n2.299\n\n1.848\n\n1.717\n\n3.337\n\n2.458\n\n2.648\n\n2.611\n\n2.287\n\n2.25\n\n2.545\n\n2.645\n\n3.021\n\n3.552\n\n2.375\n\n3.149\n\n2.773\n\n2.675\n\n2.739\n\n2.691\n\n3.32\n\n3.433\n\n2.298\n\n2.75\n\n4.612\n\n2.264\n\n2.558\n\n2.346\n\n2.624\n\n2.215\n\n2.826\n\n2.298\n\n2.269\n\n2.393\n\n3.868\n\n2.798\n\n2.515\n\n2.7\n\n3.553\n\n2.624\n\n2.156\n\n2.835\n\n1.625\n\n1.903\n\n1.734\n\n1.085\n\n1.201\n\n1.306\n\n1.22\n\n1.744\n\n1.293\n\n1.609\n\n1.383\n\n1.07\n\n0.813\n\n1.113\n\n0.862\n\n0.828\n\n2.379\n\n2.276\n\n2.327\n\n2.365\n\n2.034\n\n4.093\n\n1.868\n\n1.605\n\n2.205\n\n3.804\n\n1.811\n\n1.758\n\n1.724\n\n2.152\n\n1.854\n\n2.132\n\n2.322\n\n2.466\n\n2.217\n\n1.304\n\n2.287\n\n1.738\n\n3.259\n\n2.086\n\n2.426\n\n1.821\n\n2.802\n\n2.38\n\n0.802\n\n1.159\n\n2.265\n\n1.334\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3919135473474347, "id": "", "name": "cube69_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube69_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e29.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e27\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.748\n\n1.632\n\n2.613\n\n2.545\n\n1.898\n\n1.745\n\n5.00001\n\n2.905\n\n1.568\n\n1.807\n\n1.782\n\n1.993\n\n2.228\n\n1.334\n\n3.294\n\n1.319\n\n1.714\n\n2.109\n\n3.788\n\n1.996\n\n1.836\n\n1.904\n\n2.678\n\n1.857\n\n1.646\n\n2.276\n\n2.466\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3942112020931247, "id": "", "name": "cube69_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube69_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e31.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e16\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.542\n\n1.546\n\n2.271\n\n2.08\n\n1.568\n\n2.23\n\n2.311\n\n2.129\n\n2.131\n\n1.837\n\n1.972\n\n2.13\n\n2.512\n\n1.674\n\n1.371\n\n1.868\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.47403278685434497, "id": "", "name": "cube70_cluster0", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube70_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5655\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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221\n\n1.981\n\n1.934\n\n2.5\n\n2.239\n\n2.177\n\n2.091\n\n1.918\n\n2.292\n\n3.02\n\n2.441\n\n2.298\n\n2.367\n\n2.27\n\n0.866\n\n0.862\n\n1.469\n\n1.417\n\n1.569\n\n1.536\n\n1.485\n\n1.308\n\n1.943\n\n2.362\n\n1.031\n\n1.544\n\n1.672\n\n1.469\n\n0.879\n\n0.698\n\n0.836\n\n0.963\n\n0.847\n\n0.655\n\n0.872\n\n0.924\n\n0.983\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4990599528436895, "id": "", "name": "cube70_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube70_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:78.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2694\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4982969480546767, "id": "", "name": "cube71_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube71_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:94.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1266\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4617492794706834, "id": "", "name": "cube71_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube71_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e19.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e21.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:28.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:4.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e438\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.793\n\n1.909\n\n2.56\n\n2.234\n\n2.202\n\n2.697\n\n2.312\n\n3.324\n\n2.222\n\n2.309\n\n2.235\n\n2.239\n\n2.435\n\n2.113\n\n2.711\n\n2.168\n\n1.884\n\n1.667\n\n3.14\n\n1.291\n\n0.73\n\n0.89\n\n0.79\n\n0.87\n\n0.676\n\n0.576\n\n0.707\n\n0.7\n\n0.723\n\n2.761\n\n2.933\n\n1.543\n\n2.356\n\n2.116\n\n2.034\n\n1.543\n\n1.601\n\n1.941\n\n1.521\n\n2.259\n\n3.118\n\n3.759\n\n2.715\n\n1.688\n\n2.29\n\n3.231\n\n2.64\n\n3.181\n\n2.4\n\n1.707\n\n2.042\n\n2.692\n\n2.215\n\n2.652\n\n2.021\n\n2.291\n\n2.056\n\n2.325\n\n1.998\n\n1.95\n\n1.706\n\n2.705\n\n2.228\n\n3.289\n\n5.00001\n\n2.438\n\n3.825\n\n2.631\n\n2.521\n\n1.854\n\n1.871\n\n1.56\n\n4.357\n\n1.739\n\n2.414\n\n2.167\n\n3.056\n\n1.727\n\n2.083\n\n1.375\n\n1.32\n\n1.679\n\n1.023\n\n2.688\n\n3.273\n\n2.25\n\n3.669\n\n1.759\n\n2.827\n\n3.462\n\n4.461\n\n2.8\n\n3.186\n\n2.387\n\n2.554\n\n2.866\n\n2.568\n\n2.29\n\n2.559\n\n2.879\n\n2.194\n\n2.117\n\n1.746\n\n2.221\n\n1.921\n\n1.926\n\n1.805\n\n2.123\n\n2.618\n\n1.525\n\n1.24\n\n1.136\n\n1.135\n\n1.173\n\n1.342\n\n1.35\n\n1.733\n\n1.53\n\n1.584\n\n1.608\n\n1.878\n\n2.044\n\n4.912\n\n1.921\n\n2.154\n\n3.024\n\n2.899\n\n2.84\n\n2.699\n\n2.426\n\n2.352\n\n1.752\n\n1.759\n\n1.686\n\n1.535\n\n2.132\n\n2.109\n\n1.882\n\n2.087\n\n2.524\n\n3.197\n\n3.644\n\n3.814\n\n2.31\n\n1.992\n\n2.188\n\n1.7\n\n2.017\n\n2.141\n\n2.08\n\n2.271\n\n2.043\n\n3.411\n\n2.372\n\n1.851\n\n1.833\n\n2.476\n\n1.442\n\n2.198\n\n1.739\n\n1.647\n\n1.918\n\n1.847\n\n2.852\n\n2.154\n\n2.227\n\n1.601\n\n2.086\n\n2.082\n\n1.819\n\n1.738\n\n1.787\n\n1.753\n\n1.694\n\n1.814\n\n1.056\n\n1.692\n\n2.165\n\n2.188\n\n2.177\n\n2.159\n\n2.086\n\n1.922\n\n2.329\n\n1.656\n\n1.763\n\n1.666\n\n1.567\n\n1.46\n\n2.049\n\n2.842\n\n2.937\n\n4.374\n\n1.627\n\n1.533\n\n1.684\n\n1.841\n\n1.698\n\n2.087\n\n1.519\n\n1.381\n\n1.375\n\n1.975\n\n1.991\n\n2.225\n\n1.0\n\n1.098\n\n1.149\n\n1.898\n\n1.434\n\n1.477\n\n1.513\n\n1.772\n\n1.798\n\n1.531\n\n1.425\n\n1.292\n\n1.919\n\n2.045\n\n2.021\n\n2.37\n\n4.345\n\n3.798\n\n2.666\n\n3.953\n\n4.178\n\n3.289\n\n3.608\n\n5.00001\n\n2.779\n\n3.838\n\n2.711\n\n4.168\n\n2.853\n\n5.00001\n\n1.04\n\n1.172\n\n2.184\n\n1.372\n\n2.281\n\n2.829\n\n1.463\n\n0.988\n\n1.529\n\n1.481\n\n2.023\n\n2.552\n\n1.331\n\n1.619\n\n3.019\n\n2.803\n\n2.335\n\n2.061\n\n1.696\n\n2.42\n\n1.431\n\n1.063\n\n2.746\n\n2.389\n\n2.954\n\n2.433\n\n2.331\n\n2.333\n\n1.832\n\n2.355\n\n1.772\n\n2.331\n\n2.964\n\n2.528\n\n2.256\n\n2.194\n\n2.481\n\n2.449\n\n2.326\n\n1.828\n\n2.541\n\n2.285\n\n1.977\n\n2.286\n\n1.575\n\n1.722\n\n2.063\n\n1.808\n\n1.739\n\n1.802\n\n1.987\n\n1.703\n\n1.903\n\n2.228\n\n1.907\n\n1.779\n\n2.114\n\n1.521\n\n2.258\n\n2.845\n\n2.319\n\n2.797\n\n3.319\n\n2.857\n\n3.369\n\n2.61\n\n2.378\n\n2.956\n\n3.8\n\n2.219\n\n1.8\n\n3.047\n\n2.481\n\n1.918\n\n2.376\n\n2.404\n\n2.56\n\n2.264\n\n1.901\n\n2.241\n\n1.952\n\n2.134\n\n2.264\n\n1.651\n\n1.78\n\n1.605\n\n1.051\n\n1.225\n\n1.234\n\n1.165\n\n1.108\n\n1.139\n\n1.487\n\n2.032\n\n1.639\n\n1.543\n\n1.356\n\n1.147\n\n1.261\n\n1.58\n\n0.91\n\n1.771\n\n1.18\n\n1.845\n\n1.335\n\n1.183\n\n1.465\n\n1.238\n\n1.006\n\n1.636\n\n1.2\n\n0.726\n\n1.33\n\n1.36\n\n1.373\n\n1.63\n\n1.797\n\n1.01\n\n1.228\n\n1.373\n\n1.587\n\n0.981\n\n1.491\n\n1.58\n\n1.557\n\n1.098\n\n0.974\n\n1.275\n\n1.054\n\n1.055\n\n1.332\n\n1.145\n\n1.611\n\n1.08\n\n1.352\n\n1.167\n\n0.69\n\n1.25\n\n1.689\n\n1.923\n\n1.818\n\n1.809\n\n1.415\n\n1.621\n\n3.693\n\n5.00001\n\n2.614\n\n2.93\n\n2.5\n\n1.848\n\n2.25\n\n2.307\n\n2.561\n\n3.552\n\n2.773\n\n2.93\n\n2.739\n\n2.691\n\n2.746\n\n2.422\n\n4.518\n\n4.301\n\n4.612\n\n2.264\n\n2.624\n\n2.298\n\n2.269\n\n2.156\n\n2.835\n\n2.291\n\n0.862\n\n1.248\n\n2.017\n\n2.148\n\n1.86\n\n2.379\n\n2.431\n\n2.199\n\n2.327\n\n2.18\n\n1.605\n\n2.199\n\n2.343\n\n1.987\n\n1.971\n\n2.354\n\n3.804\n\n2.429\n\n1.656\n\n2.152\n\n1.854\n\n2.322\n\n2.713\n\n2.326\n\n3.994\n\n1.304\n\n2.287\n\n2.128\n\n2.247\n\n2.224\n\n1.821\n\n2.38\n\n2.252\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4107511655743027, "id": "", "name": "cube72_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube72_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e24.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:3.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e4.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2465\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4341631952626637, "id": "", "name": "cube72_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube72_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e18.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:3.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1187\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.43023931312919567, "id": "", "name": "cube73_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube73_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:26.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e392\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.353\n\n2.094\n\n1.883\n\n2.18\n\n1.847\n\n1.807\n\n1.741\n\n3.316\n\n2.489\n\n2.326\n\n2.213\n\n2.932\n\n1.844\n\n1.684\n\n1.628\n\n1.31\n\n3.212\n\n1.911\n\n1.84\n\n0.681\n\n0.714\n\n1.017\n\n0.706\n\n0.995\n\n0.637\n\n0.826\n\n0.979\n\n1.911\n\n1.621\n\n2.199\n\n2.227\n\n2.482\n\n2.302\n\n1.56\n\n1.894\n\n3.017\n\n2.225\n\n3.273\n\n2.808\n\n2.484\n\n2.219\n\n2.302\n\n2.554\n\n2.423\n\n2.399\n\n1.915\n\n1.795\n\n1.986\n\n2.264\n\n2.225\n\n2.256\n\n3.127\n\n2.86\n\n1.773\n\n3.679\n\n2.265\n\n2.2\n\n1.974\n\n2.02\n\n2.929\n\n2.381\n\n2.455\n\n1.742\n\n2.132\n\n2.087\n\n1.998\n\n2.053\n\n2.291\n\n1.923\n\n2.403\n\n1.788\n\n2.584\n\n2.552\n\n2.448\n\n2.237\n\n2.464\n\n2.596\n\n2.634\n\n3.382\n\n4.25\n\n3.092\n\n1.734\n\n2.32\n\n1.721\n\n1.964\n\n1.663\n\n1.839\n\n0.936\n\n2.077\n\n2.542\n\n2.221\n\n3.019\n\n3.25\n\n1.628\n\n1.797\n\n2.263\n\n2.234\n\n2.333\n\n1.823\n\n1.691\n\n2.317\n\n3.0\n\n2.456\n\n4.0\n\n3.667\n\n2.063\n\n3.511\n\n2.243\n\n2.809\n\n2.156\n\n1.98\n\n1.855\n\n2.289\n\n1.917\n\n1.504\n\n2.022\n\n2.3\n\n1.351\n\n1.313\n\n1.288\n\n2.476\n\n1.996\n\n1.827\n\n1.57\n\n1.262\n\n1.767\n\n1.811\n\n1.66\n\n1.667\n\n1.607\n\n1.804\n\n1.759\n\n1.976\n\n2.111\n\n1.907\n\n2.102\n\n2.113\n\n1.839\n\n1.932\n\n2.95\n\n2.62\n\n3.915\n\n2.736\n\n1.617\n\n1.67\n\n2.123\n\n4.265\n\n2.481\n\n2.088\n\n1.814\n\n1.663\n\n2.119\n\n1.695\n\n2.424\n\n2.512\n\n2.141\n\n3.649\n\n1.925\n\n2.081\n\n2.432\n\n2.539\n\n2.23\n\n2.546\n\n3.058\n\n2.933\n\n2.684\n\n1.637\n\n2.667\n\n2.824\n\n2.588\n\n1.779\n\n1.673\n\n2.792\n\n1.625\n\n1.678\n\n1.744\n\n2.104\n\n2.198\n\n1.768\n\n1.91\n\n1.682\n\n1.072\n\n1.241\n\n1.177\n\n1.846\n\n1.911\n\n1.772\n\n1.905\n\n1.592\n\n1.641\n\n1.446\n\n1.461\n\n1.834\n\n2.065\n\n1.655\n\n1.982\n\n2.397\n\n2.408\n\n2.656\n\n2.081\n\n1.953\n\n2.008\n\n2.46\n\n2.259\n\n2.155\n\n1.704\n\n1.946\n\n1.626\n\n1.608\n\n2.181\n\n2.005\n\n1.592\n\n1.64\n\n4.635\n\n1.086\n\n1.708\n\n1.609\n\n1.813\n\n1.88\n\n2.088\n\n2.241\n\n1.814\n\n2.421\n\n1.947\n\n2.15\n\n2.929\n\n3.781\n\n3.662\n\n2.719\n\n2.984\n\n2.917\n\n2.348\n\n2.799\n\n4.468\n\n3.656\n\n2.864\n\n5.00001\n\n3.551\n\n1.088\n\n1.636\n\n1.135\n\n1.074\n\n1.695\n\n2.134\n\n1.83\n\n2.026\n\n2.142\n\n2.257\n\n2.538\n\n1.613\n\n2.247\n\n1.844\n\n2.27\n\n2.016\n\n1.907\n\n2.605\n\n2.269\n\n2.461\n\n2.724\n\n2.274\n\n2.233\n\n2.82\n\n2.438\n\n2.158\n\n2.455\n\n1.555\n\n2.664\n\n1.457\n\n2.169\n\n2.119\n\n2.15\n\n1.405\n\n2.555\n\n2.248\n\n2.009\n\n1.974\n\n1.714\n\n1.988\n\n2.18\n\n2.018\n\n1.747\n\n1.806\n\n2.114\n\n1.435\n\n2.133\n\n1.875\n\n2.038\n\n2.143\n\n2.365\n\n1.843\n\n1.907\n\n1.742\n\n1.761\n\n1.842\n\n2.765\n\n2.793\n\n2.13\n\n2.651\n\n2.815\n\n2.404\n\n2.431\n\n2.819\n\n2.346\n\n2.822\n\n2.148\n\n2.341\n\n2.4\n\n1.974\n\n2.559\n\n2.166\n\n2.289\n\n3.401\n\n1.984\n\n3.439\n\n2.161\n\n2.374\n\n2.086\n\n2.156\n\n2.021\n\n1.091\n\n0.952\n\n1.411\n\n0.912\n\n2.415\n\n1.425\n\n1.282\n\n2.318\n\n1.243\n\n1.766\n\n1.213\n\n1.572\n\n1.51\n\n1.283\n\n1.306\n\n1.012\n\n0.98\n\n0.858\n\n1.274\n\n0.939\n\n0.944\n\n2.054\n\n2.099\n\n1.738\n\n3.951\n\n3.013\n\n2.642\n\n2.81\n\n2.556\n\n2.611\n\n2.552\n\n2.186\n\n1.125\n\n2.177\n\n2.909\n\n2.832\n\n2.726\n\n2.75\n\n3.003\n\n3.353\n\n2.445\n\n2.143\n\n3.081\n\n3.052\n\n1.145\n\n1.128\n\n1.115\n\n0.925\n\n0.776\n\n1.761\n\n1.948\n\n2.414\n\n1.993\n\n2.794\n\n1.757\n\n2.35\n\n3.239\n\n2.205\n\n2.312\n\n1.834\n\n2.381\n\n2.182\n\n3.138\n\n2.394\n\n2.421\n\n2.118\n\n2.58\n\n1.875\n\n1.968\n\n1.709\n\n2.21\n\n1.866\n\n2.383\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4309945274786366, "id": "", "name": "cube73_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube73_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:2.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e28.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e28.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:2.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e152\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.476\n\n0.89\n\n0.847\n\n0.85\n\n1.915\n\n1.543\n\n3.118\n\n2.58\n\n2.64\n\n4.075\n\n4.544\n\n3.181\n\n2.4\n\n2.901\n\n2.697\n\n2.308\n\n2.042\n\n2.392\n\n2.705\n\n2.228\n\n1.56\n\n1.258\n\n3.512\n\n2.202\n\n2.879\n\n2.117\n\n1.921\n\n1.805\n\n1.525\n\n1.173\n\n2.587\n\n1.899\n\n2.069\n\n1.86\n\n1.854\n\n2.028\n\n3.024\n\n2.899\n\n2.426\n\n1.873\n\n2.352\n\n4.767\n\n2.068\n\n1.792\n\n2.285\n\n2.524\n\n3.644\n\n3.814\n\n2.31\n\n2.293\n\n2.043\n\n3.151\n\n3.411\n\n2.58\n\n2.476\n\n2.198\n\n1.714\n\n1.647\n\n1.918\n\n1.847\n\n2.051\n\n2.154\n\n1.601\n\n2.086\n\n1.738\n\n1.753\n\n1.814\n\n2.379\n\n2.188\n\n1.969\n\n2.182\n\n1.666\n\n1.96\n\n1.46\n\n1.908\n\n2.049\n\n1.946\n\n2.131\n\n1.859\n\n1.149\n\n1.898\n\n1.919\n\n2.37\n\n2.29\n\n3.822\n\n3.798\n\n2.666\n\n3.608\n\n2.779\n\n3.838\n\n3.325\n\n1.401\n\n1.619\n\n2.184\n\n2.42\n\n2.954\n\n2.854\n\n2.194\n\n2.481\n\n2.449\n\n2.118\n\n2.239\n\n1.871\n\n2.541\n\n1.354\n\n1.977\n\n2.286\n\n1.818\n\n1.831\n\n2.063\n\n1.802\n\n1.91\n\n1.987\n\n1.703\n\n1.823\n\n1.759\n\n2.228\n\n2.114\n\n3.426\n\n2.797\n\n3.319\n\n2.61\n\n1.86\n\n2.219\n\n1.8\n\n2.075\n\n3.047\n\n2.481\n\n1.918\n\n2.56\n\n3.207\n\n2.264\n\n1.96\n\n2.176\n\n2.134\n\n2.264\n\n1.605\n\n1.234\n\n1.149\n\n1.288\n\n1.491\n\n1.154\n\n5.00001\n\n2.091\n\n2.017\n\n2.431\n\n3.13\n\n2.082\n\n2.295\n\n2.142\n\n2.053\n\n2.252\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}]}' style="display:none"></div>
+  <div id="json_colorscale" data-colorscale='[[0.0, "rgb(68, 1, 84)"], [0.1, "rgb(72, 35, 116)"], [0.2, "rgb(64, 67, 135)"], [0.3, "rgb(52, 94, 141)"], [0.4, "rgb(41, 120, 142)"], [0.5, "rgb(32, 144, 140)"], [0.6, "rgb(34, 167, 132)"], [0.7, "rgb(68, 190, 112)"], [0.8, "rgb(121, 209, 81)"], [0.9, "rgb(189, 222, 38)"], [1.0, "rgb(253, 231, 36)"]]'
+  style="display:none"></div>
+
+  <div id="canvas">
+      <!-- Graph will go in here -->
+  </div>
+
+  <!-- Seperate canvas and panes so we can overlay elements -->
+  <div id="panes">
+    <img id="logo" src="https://i.imgur.com/bxux6WA.png">
+    
+<div id="toolbar">
+    <div id="tooltip_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="tooltip_tag">[+]</small></a> 
+        Cluster Details  
+        </h3>
+    </div>  
+    
+    <div id="meta_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="meta_tag">[+]</small></a> 
+        Mapper Summary 
+        </h3> 
+    </div>
+
+    <div id="help_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="helptip_tag">[+]</small></a>
+        Help
+        </h3>
+    </div>
+
+</div>
+
+    <div id="header">
+      <noscript><b>Requires JavaScript (d3.js) for visualizations</b></noscript>
+      <h1> California Housing Dataset </h1>
+    </div>
+
+    <!-- Panes for each of the tips -->
+    <div id="tooltip">
+      <div id="tooltip_content" class="pane_content">
+        Hover over a node to see attributes about it.
+      </div>
+    </div>
+
+    <div id="helptip">
+        <div id="helptip_content" class="pane_content">
+            <!-- Help pane. 
+    TODO: Add more information here.  -->
+
+<ul>
+<li>Double click on a node to center graph at that node.</li>
+</ul>
+
+<table>
+    <tr>
+        <th>Key</th>
+        <th><small>Action</small></th>
+    </tr>
+
+    <tr>
+        <td>s</td>
+        <td><small>Nodes glow :D</small></td>
+    </tr>
+
+    <tr>
+        <td>c</td>
+        <td><small>remove glow</small></td>
+    </tr>
+
+    <tr>
+        <td>p</td>
+        <td><small>Print mode - white backgrounds</small></td>
+    </tr>
+
+    <tr>
+        <td>d</td>
+        <td><small>Display mode - black backgrounds</small></td>
+    </tr>
+
+    <tr>
+        <td>z</td>
+        <td><small>Turn off gravity</small></td>
+    </tr>
+
+    <tr>
+        <td>m</td>
+        <td><small>Spacious layout</small></td>
+    </tr>
+
+    <tr>
+        <td>e</td>
+        <td><small>Tight layout</small></td>
+    </tr>
+
+</table> 
+        </div>
+      </div>
+
+    <div id="meta">
+      <div id="meta_content" class="pane_content">
+        <h2>Mapper Summary</h2>
+
+<hr><br>
+
+
+    
+        <h3>projection </h3> <p> l2norm</p>
+    
+        <h3>n_cubes </h3> <p> 15</p>
+    
+        <h3>perc_overlap </h3> <p> 0.4</p>
+    
+        <h3>clusterer </h3> <p> KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,<br>       n_clusters=2, n_init=10, n_jobs=None, precompute_distances='auto',<br>       random_state=1618033, tol=0.0001, verbose=0)</p>
+    
+        <h3>scaler </h3> <p> MinMaxScaler(copy=True, feature_range=(0, 1))</p>
+    
+
+
+<h3>Nodes</h3><p> 128 </p>
+
+<h3>Edges</h3><p> 288 </p>
+
+<h3>Total Samples</h3><p> 42000</p>
+
+<h3>Unique Samples</h3><p> 20637</p>
+
+<hr><br/>
+
+<h3>Node Distribution</h3>  
+
+<div id="histogram">
+<!-- Render histogram -->
+
+
+    <div class="bin" style="height:2.0px; background:rgb(70, 18, 100)">
+        <div>0.8%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:4.0px; background:rgb(68, 51, 125)">
+        <div>1.6%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:6.0px; background:rgb(58, 80, 138)">
+        <div>2.3%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:12.0px; background:rgb(46, 107, 141)">
+        <div>4.7%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:55.0px; background:rgb(36, 131, 141)">
+        <div>21.9%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:100.0px; background:rgb(33, 155, 136)">
+        <div>39.8%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:45.0px; background:rgb(51, 178, 121)">
+        <div>18.0%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:14.0px; background:rgb(94, 199, 96)">
+        <div>5.5%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:6.0px; background:rgb(155, 215, 59)">
+        <div>2.3%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:8.0px; background:rgb(220, 226, 37)">
+        <div>3.1%</div>
+    </div>     
+  
+
+</div>
+
+<br><br>
+
+
+<hr><br> 
+      </div>
+    </div>
+    
+  </div>
+
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
+
+  <script>// Height and width settings
+var canvas_height = window.innerHeight - 5;
+document.getElementById("canvas").style.height = canvas_height + "px";
+var width = document.getElementById("canvas").offsetWidth;
+var height = document.getElementById("canvas").offsetHeight;
+var w = width;
+var h = height;
+var padding = 40;
+
+var focus_node = null, highlight_node = null;
+var text_center = false;
+var outline = false;
+
+// Size for zooming
+var size = d3.scale.pow().exponent(1)
+           .domain([1,100])
+           .range([8,24]);
+
+// Variety of variable inits
+var highlight_color = "blue";
+var highlight_trans = 0.1;
+var default_node_color = "#ccc";
+var default_node_color = "rgba(160,160,160, 0.5)";
+var default_link_color = "rgba(160,160,160, 0.5)";
+var nominal_base_node_size = 8;
+var nominal_text_size = 15;
+var max_text_size = 24;
+var nominal_stroke = 1.0;
+var max_stroke = 4.5;
+var max_base_node_size = 36;
+var min_zoom = 0.1;
+var max_zoom = 7;
+var zoom = d3.behavior.zoom().scaleExtent([min_zoom,max_zoom]);
+
+
+var tocolor = "fill";
+var towhite = "stroke";
+if (outline) {
+  tocolor = "stroke";
+  towhite = "fill";
+}
+
+
+// We draw the graph in SVG
+var svg = d3.select("#canvas").append("svg")
+          .attr("width", width)
+          .attr("height", height);
+
+svg.style("cursor","move");
+var g = svg.append("g");
+
+/**
+ * Side panes
+ * 
+ * 
+ * 
+ * 
+ */
+
+// Show/Hide Functionality
+var toggle_pane = function(content, content_id, tag){
+  var active = content.active ? false : true;
+
+  if (active){
+    content_id.style("display", "unset");
+    tag.textContent = "[-]";
+  } else{
+    content_id.style("display", "none");
+    tag.textContent = "[+]";
+  }
+
+  // TODO: This is probably not the best way to find the correct height.
+  var h = canvas_height - content.offsetTop - padding;
+  content_id.style("height", h + "px")
+
+  content.active = active;
+}
+
+d3.select("#tooltip_control").on("click", function() {
+  toggle_pane(tooltip_content, 
+              d3.select("#tooltip_content"), 
+              d3.select("#tooltip_tag")[0][0]);
+
+});
+
+d3.select("#meta_control").on("click", function() {
+  toggle_pane(meta_content, 
+              d3.select("#meta_content"),
+              d3.select("#meta_tag")[0][0])
+
+});
+
+d3.select("#help_control").on("click", function() {
+  toggle_pane(helptip_content, 
+              d3.select("#helptip_content"),
+              d3.select("#helptip_tag")[0][0])
+});
+
+
+
+/**
+ * 
+ * Set up color scale
+ * 
+ * 
+ */
+
+var colorscale = JSON.parse(document.getElementById("json_colorscale").dataset.colorscale);
+var domain = colorscale.map((x)=>x[0])
+var palette = colorscale.map((x)=>x[1])
+
+var color = d3.scale.linear()
+  .domain(domain)
+  .range(palette);
+
+
+/**
+ *  Graph setup 
+ * 
+ * 
+ */
+
+var graph = JSON.parse(document.getElementById("json_graph").dataset.graph);
+
+              
+// Force settings
+var force = d3.layout.force()
+            .linkDistance(5)
+            .gravity(0.2)
+            .charge(-1200)
+            .size([w,h]);
+
+force
+  .nodes(graph.nodes)
+  .links(graph.links)
+  .start();
+
+var link = g.selectAll(".link")
+            .data(graph.links)
+            .enter().append("line")
+              .attr("class", "link")
+              .style("stroke-width", function(d) { return d.w * nominal_stroke; })
+              .style("stroke-width", function(d) { return d.w * nominal_stroke; })
+
+
+var node = g.selectAll(".node")
+            .data(graph.nodes)
+            .enter().append("g")
+              .attr("class", "node")
+              .call(force.drag);
+
+// Double clicking on a node will center on it.
+node.on("dblclick.zoom", function(d) { d3.event.stopPropagation();
+  var dcx = (window.innerWidth/2-d.x*zoom.scale());
+  var dcy = (window.innerHeight/2-d.y*zoom.scale());
+  zoom.translate([dcx,dcy]);
+  g.attr("transform", "translate("+ dcx + "," + dcy  + ")scale(" + zoom.scale() + ")");
+});
+
+
+
+
+// Drop-shadow Filter
+var svg = d3.select("svg");
+var defs = svg.append("defs");
+var dropShadowFilter = defs.append('svg:filter')
+  .attr('id', 'drop-shadow')
+  .attr('filterUnits', "userSpaceOnUse")
+  .attr('width', '250%')
+  .attr('height', '250%');
+dropShadowFilter.append('svg:feGaussianBlur')
+  .attr('in', 'SourceGraphic')
+  .attr('stdDeviation', 12)
+  .attr('result', 'blur-out');
+dropShadowFilter.append('svg:feColorMatrix')
+  .attr('in', 'blur-out')
+  .attr('type', 'hueRotate')
+  .attr('values', 0)
+  .attr('result', 'color-out');
+dropShadowFilter.append('svg:feOffset')
+  .attr('in', 'color-out')
+  .attr('dx', 0)
+  .attr('dy', 0)
+  .attr('result', 'the-shadow');
+dropShadowFilter.append('svg:feComponentTransfer')
+  .attr('type', 'linear')
+  .attr('slope', 0.2)
+  .attr('result', 'shadow-opacity');
+dropShadowFilter.append('svg:feBlend')
+  .attr('in', 'SourceGraphic')
+  .attr('in2', 'the-shadow')
+  .attr('mode', 'normal');
+
+// Draw circles
+var circle = node.append("path")
+  .attr("d", d3.svg.symbol()
+    .size(function(d) { return d.size * 50; })
+    .type(function(d) { return d.type; }))
+  .attr("class", "circle")
+  .style(tocolor, function(d) {
+    console.log("Node color:", d.color);
+    console.log("becomes color ", color(d.color));
+    return color(d.color);
+  });
+//.style("filter", "url(#drop-shadow)");
+
+
+// Format all text 
+var text = g.selectAll(".text")
+  .data(graph.nodes)
+  .enter().append("text")
+    .attr("dy", ".35em")
+    .style("font-family", "Roboto")
+    .style("font-weight", "400")
+    .style("color", "#2C3E50")
+    .style("font-size", nominal_text_size + "px");
+
+
+
+if (text_center) {
+  text.text(function(d) { return d.id; })
+    .style("text-anchor", "middle");
+} else {
+  text.attr("dx", function(d) {return (size(d.size)||nominal_base_node_size);})
+    .text(function(d) { return '\u2002'+d.id; });
+}
+
+
+/**
+ * Mouse Interactivity
+ * 
+ * 
+ * 
+ * 
+ * 
+ */
+
+node.on("mouseover", function(d) {
+  // Change node details
+  set_highlight(d);
+  d3.select("#tooltip_content").html(d.tooltip + "<br/>");
+}).on("mousedown", function(d) {
+  // TODO: This seems to only stop the one particular node from moving?
+
+  d3.event.stopPropagation();
+  focus_node = d;
+  if (highlight_node === null) {
+    set_highlight(d)
+  }
+}).on("mouseout", function(d) {
+  exit_highlight();
+});
+
+d3.select(window).on("mouseup", function() {
+  if (focus_node!==null){
+    focus_node = null;
+  }
+  if (highlight_node === null) {
+    exit_highlight();
+  }
+});
+
+// Node highlighting logic
+function exit_highlight(){
+  highlight_node = null;
+  if (focus_node===null){
+    svg.style("cursor","move");
+  }
+}
+
+function set_highlight(d){
+  svg.style("cursor","pointer");
+  if (focus_node!==null) d = focus_node;
+}
+
+
+// Zoom logic
+zoom.on("zoom", function() {
+  var stroke = nominal_stroke;
+  var base_radius = nominal_base_node_size;
+  if (nominal_base_node_size*zoom.scale()>max_base_node_size) {
+    base_radius = max_base_node_size/zoom.scale();}
+  circle.attr("d", d3.svg.symbol()
+    .size(function(d) { return d.size * 50; })
+    .type(function(d) { return d.type; }))
+  if (!text_center) text.attr("dx", function(d) {
+    return (size(d.size)*base_radius/nominal_base_node_size||base_radius); });
+
+  var text_size = nominal_text_size;
+  if (nominal_text_size*zoom.scale()>max_text_size) {
+    text_size = max_text_size/zoom.scale(); }
+  text.style("font-size",text_size + "px");
+
+  g.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")");
+});
+
+svg.call(zoom);
+resize();
+d3.select(window).on("resize", resize);
+
+// Animation per tick
+force.on("tick", function() {
+  node.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
+  text.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
+  link.attr("x1", function(d) { return d.source.x; })
+    .attr("y1", function(d) { return d.source.y; })
+    .attr("x2", function(d) { return d.target.x; })
+    .attr("y2", function(d) { return d.target.y; });
+  node.attr("cx", function(d) { return d.x; })
+    .attr("cy", function(d) { return d.y; });
+});
+
+
+
+// Resizing window and redraws
+function resize() {
+  var width = window.innerWidth, height = window.innerHeight;
+  var width = document.getElementById("canvas").offsetWidth;
+  var height = document.getElementById("canvas").offsetHeight;
+  svg.attr("width", width).attr("height", height);
+
+  force.size([force.size()[0]+(width-w)/zoom.scale(),
+              force.size()[1]+(height-h)/zoom.scale()]).resume();
+  w = width;
+  h = height;
+}
+
+
+function isNumber(n) {
+  return !isNaN(parseFloat(n)) && isFinite(n);
+}
+
+// Key press events
+window.addEventListener("keydown", function (event) {
+if (event.defaultPrevented) {
+  return; // Do nothing if the event was already processed
+}
+
+
+switch (event.key) {
+  case "f":
+    console.log("Freeze graph")
+    break;
+  case "s":
+    // Do something for "s" key press.
+    node.style("filter", "url(#drop-shadow)");
+    break;
+  case "c":
+    // Do something for "s" key press.
+    node.style("filter", null);
+    break;
+  case "p":
+    // Turn to print mode, white backgrounds
+    d3.select("body").attr('id', null).attr('id', "print")
+    break;
+  case "d":
+    // Do something for "d" key press.
+    d3.select("body").attr('id', null).attr('id', "display")
+    break;
+  case "z":
+    force.gravity(0.0)
+         .charge(0.0);
+    resize();
+    break
+  case "m":
+    force.gravity(0.07)
+         .charge(-1);
+    resize();
+    break
+  case "e":
+    force.gravity(0.4)
+         .charge(-600);
+
+    resize();
+    break
+  default:
+    return; // Quit when this doesn't handle the key event.
+}
+// Cancel the default action to avoid it being handled twice
+event.preventDefault();
+}, true);
+</script>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/mapper_visualization_output.html b/mapper_visualization_output.html
new file mode 100644
index 0000000..c7adec4
--- /dev/null
+++ b/mapper_visualization_output.html
@@ -0,0 +1,877 @@
+<!DOCTYPE html>
+<html>
+
+<head>
+  <meta charset="utf-8">
+  <meta name="generator" content="KeplerMapper">
+  <title>California Housing Dataset | KeplerMapper</title>
+
+  <link rel="icon" type="image/png" href="http://i.imgur.com/axOG6GJ.jpg" />
+
+  <link href='https://fonts.googleapis.com/css?family=Roboto+Mono:700,300' rel='stylesheet' type='text/css'>
+  <style>* {
+  margin: 0;
+  padding: 0;
+}
+
+html, body {
+  height: 100%;
+}
+
+body {
+  font-family: "Roboto Mono", "Helvetica", sans-serif;
+  font-size: 14px;
+}
+
+#logo {
+  position: absolute;
+  right: 00px;
+  top: 0px;
+  width: 90px;
+  height: 90px;
+  z-index: 999999;
+}
+
+#display {
+  color: #95A5A6;
+  background: #212121;
+}
+
+#print {
+  color: #000;
+  background: #FFF;
+}
+
+h1 {
+  font-size: 21px;
+  font-weight: 300;
+  font-weight: 300;
+}
+
+h2 {
+  font-size: 18px;
+  padding-bottom: 20px;
+  font-weight: 300;
+}
+
+h3 {
+  font-size: 14px;
+  font-weight: 700;
+  text-transform: uppercase;
+}
+
+h4 {
+  font-size: 13px;
+  font-weight: 700;
+  text-transform: uppercase;
+  padding-bottom:0px;
+}
+
+
+#meta_content h3 {
+  float: left;
+  padding-right: 8px;
+}
+
+p, #tooltip_content h3, ol, ul, table {
+  padding-bottom: 10px;
+}
+
+ol, ul {
+  padding-left: 20px;
+}
+
+ol b {
+  display: block;
+}
+
+a {
+  color: #16a085;
+  text-decoration: none;
+}
+
+#panes {
+    /* background: #e24d4d; */
+  /* position: absolute; */
+  /* height: 100%; */
+  /* width: 100%; */
+  /* display: block; */
+  /* z-index: 9999; */
+}
+
+a:hover {
+  color: #2ecc71;
+}
+
+#header {
+  height: 35px;
+  /* padding-top: 20px; */
+  padding:10px;
+  padding-left:20px;
+  position: relative;
+}
+
+#display #header, #display #toolbar {
+  background: #111111;
+  box-shadow: 0px 0px 4px #000;
+}
+
+#print #header, #print #toolbar {
+  background: #FFF;
+}
+
+
+#canvas {
+  position: absolute;
+  height: 100%;
+  width: 100%;
+  display: block;
+}
+
+
+#toolbar {
+  position: relative;
+  padding-top: 10px;
+  padding-bottom: 10px;
+
+  width: 100%;
+  overflow: auto;
+}
+
+/* #display #toolbar {
+  background: #111111;
+}
+
+#print #toolbar {
+  background: #FFF;
+} */
+
+.tool_item {
+  padding-left: 20px;
+  position: relative;
+  float: left;
+}
+
+.pane_content {
+  position: relative;
+  float: left;
+  width: 300px;
+  height:100%;
+  padding: 20px;
+  overflow: auto;
+  display: none;
+}
+
+/* Chrome only: */
+@media all and (-webkit-min-device-pixel-ratio:0) and (min-resolution: .001dpcm) { 
+  .pane_content {
+    width: 314px;
+    padding-right: 10px;
+  }
+}
+
+
+#helptip_content {
+  float:right;
+}
+
+#display .pane_content {
+  background: #191919;
+}
+
+#print .pane_content{
+  background: #FFF;
+}
+
+#meta_content {
+  float:right;
+}
+
+#meta_content::-webkit-scrollbar, #tooltip_content::-webkit-scrollbar {
+  width: 1em;
+}
+
+#meta_content::-webkit-scrollbar-track, #tooltip_content::-webkit-scrollbar-track {
+  -webkit-box-shadow: inset 0 0 6px rgba(0, 0, 0, 0.3);
+}
+
+#meta_content::-webkit-scrollbar-thumb, #tooltip_content::-webkit-scrollbar-thumb {
+  background-color: darkgrey;
+  outline: 1px solid slategrey;
+}
+
+#histogram {
+  display: block;
+  height: 100px;
+  padding-top: 50px;
+  clear: both;
+}
+
+#display #histogram {
+  opacity: 0.68;
+}
+
+.bin {
+  width: 10%;
+  float: left;
+}
+
+.bin div {
+  font-size: 10px;
+  display: block;
+  width: 35px;
+  margin-top: -30px;
+  text-align: right;
+  margin-left: -3px;
+  -webkit-transform: rotate(-90deg);
+  -moz-transform: rotate(-90deg);
+  -ms-transform: rotate(-90deg);
+  -o-transform: rotate(-90deg);
+}
+
+#histogram:hover {
+  opacity: 1.;
+}
+
+#display .circle {
+  stroke-opacity: 0.18;
+  stroke-width: 7px;
+  stroke: #000;
+}
+
+#print .circle {
+  stroke-opacity: 1;
+  stroke-width: 2px;
+  stroke: #000;
+  stroke-linecap: round;
+}
+
+#print .link {
+  stroke: #000;
+}
+
+#display .link {
+  stroke: rgba(160, 160, 160, 0.5);
+}
+
+table {
+  border-collapse: collapse;
+  display: table;
+  width: 100%;
+  margin-bottom: 20px;
+}
+
+td, th {
+  padding: 5px;
+  text-align: left;
+}
+
+#display th {
+  background: #212121
+}
+
+td {
+  border-bottom: 1px solid #111;
+}
+</style>
+
+</head>
+
+<body id="display">
+
+  <!-- Storage of data so D3 can access it later. This is in <body> so Chrome doesn't wholesale move all head content to body. -->
+  <div id="json_graph" data-graph='{"links": [{"source": 0, "target": 6, "width": 1}, {"source": 1, "target": 7, "width": 1}, {"source": 2, "target": 4, "width": 1}, {"source": 2, "target": 8, "width": 1}, {"source": 2, "target": 10, "width": 1}, {"source": 3, "target": 5, "width": 1}, {"source": 3, "target": 9, "width": 1}, {"source": 3, "target": 11, "width": 1}, {"source": 4, "target": 8, "width": 1}, {"source": 4, "target": 10, "width": 1}, {"source": 5, "target": 9, "width": 1}, {"source": 5, "target": 11, "width": 1}, {"source": 6, "target": 12, "width": 1}, {"source": 7, "target": 13, "width": 1}, {"source": 8, "target": 10, "width": 1}, {"source": 9, "target": 11, "width": 1}, {"source": 12, "target": 18, "width": 1}, {"source": 13, "target": 14, "width": 1}, {"source": 13, "target": 18, "width": 1}, {"source": 13, "target": 19, "width": 1}, {"source": 13, "target": 20, "width": 1}, {"source": 14, "target": 19, "width": 1}, {"source": 14, "target": 20, "width": 1}, {"source": 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{"source": 24, "target": 35, "width": 1}, {"source": 25, "target": 33, "width": 1}, {"source": 25, "target": 34, "width": 1}, {"source": 26, "target": 35, "width": 1}, {"source": 28, "target": 36, "width": 1}, {"source": 29, "target": 31, "width": 1}, {"source": 29, "target": 36, "width": 1}, {"source": 29, "target": 37, "width": 1}, {"source": 29, "target": 39, "width": 1}, {"source": 30, "target": 32, "width": 1}, {"source": 30, "target": 38, "width": 1}, {"source": 31, "target": 37, "width": 1}, {"source": 31, "target": 39, "width": 1}, {"source": 32, "target": 40, "width": 1}, {"source": 33, "target": 34, "width": 1}, {"source": 33, "target": 40, "width": 1}, {"source": 33, "target": 43, "width": 1}, {"source": 34, "target": 40, "width": 1}, {"source": 34, "target": 43, "width": 1}, {"source": 36, "target": 48, "width": 1}, {"source": 37, "target": 39, "width": 1}, {"source": 37, "target": 48, "width": 1}, {"source": 37, "target": 49, "width": 1}, {"source": 37, "target": 51, 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{"source": 90, "target": 100, "width": 1}, {"source": 90, "target": 101, "width": 1}, {"source": 91, "target": 92, "width": 1}, {"source": 91, "target": 93, "width": 1}, {"source": 91, "target": 101, "width": 1}, {"source": 91, "target": 102, "width": 1}, {"source": 91, "target": 103, "width": 1}, {"source": 92, "target": 101, "width": 1}, {"source": 92, "target": 102, "width": 1}, {"source": 93, "target": 94, "width": 1}, {"source": 93, "target": 95, "width": 1}, {"source": 93, "target": 101, "width": 1}, {"source": 93, "target": 103, "width": 1}, {"source": 93, "target": 104, "width": 1}, {"source": 93, "target": 105, "width": 1}, {"source": 94, "target": 96, "width": 1}, {"source": 94, "target": 97, "width": 1}, {"source": 95, "target": 103, "width": 1}, {"source": 95, "target": 104, "width": 1}, {"source": 95, "target": 105, "width": 1}, {"source": 98, "target": 106, "width": 1}, {"source": 98, "target": 107, "width": 1}, {"source": 99, "target": 100, "width": 1}, {"source": 99, "target": 101, "width": 1}, {"source": 99, "target": 107, "width": 1}, {"source": 99, "target": 108, "width": 1}, {"source": 99, "target": 109, "width": 1}, {"source": 100, "target": 107, "width": 1}, {"source": 100, "target": 108, "width": 1}, {"source": 100, "target": 109, "width": 1}, {"source": 101, "target": 102, "width": 1}, {"source": 101, "target": 103, "width": 1}, {"source": 101, "target": 107, "width": 1}, {"source": 101, "target": 109, "width": 1}, {"source": 101, "target": 110, "width": 1}, {"source": 101, "target": 111, "width": 1}, {"source": 102, "target": 109, "width": 1}, {"source": 102, "target": 110, "width": 1}, {"source": 102, "target": 111, "width": 1}, {"source": 103, "target": 104, "width": 1}, {"source": 103, "target": 105, "width": 1}, {"source": 103, "target": 111, "width": 1}, {"source": 103, "target": 112, "width": 1}, {"source": 103, "target": 113, "width": 1}, {"source": 104, "target": 111, "width": 1}, {"source": 104, "target": 113, "width": 1}, {"source": 105, "target": 111, "width": 1}, {"source": 105, "target": 112, "width": 1}, {"source": 106, "target": 114, "width": 1}, {"source": 106, "target": 115, "width": 1}, {"source": 107, "target": 108, "width": 1}, {"source": 107, "target": 109, "width": 1}, {"source": 107, "target": 115, "width": 1}, {"source": 107, "target": 116, "width": 1}, {"source": 107, "target": 117, "width": 1}, {"source": 108, "target": 115, "width": 1}, {"source": 108, "target": 116, "width": 1}, {"source": 108, "target": 117, "width": 1}, {"source": 109, "target": 110, "width": 1}, {"source": 109, "target": 111, "width": 1}, {"source": 109, "target": 115, "width": 1}, {"source": 109, "target": 117, "width": 1}, {"source": 109, "target": 118, "width": 1}, {"source": 109, "target": 119, "width": 1}, {"source": 110, "target": 117, "width": 1}, {"source": 110, "target": 118, "width": 1}, {"source": 110, "target": 119, "width": 1}, {"source": 111, "target": 112, "width": 1}, {"source": 111, "target": 113, "width": 1}, {"source": 111, "target": 117, "width": 1}, {"source": 111, "target": 119, "width": 1}, {"source": 114, "target": 120, "width": 1}, {"source": 114, "target": 121, "width": 1}, {"source": 115, "target": 116, "width": 1}, {"source": 115, "target": 117, "width": 1}, {"source": 115, "target": 121, "width": 1}, {"source": 115, "target": 122, "width": 1}, {"source": 115, "target": 123, "width": 1}, {"source": 116, "target": 121, "width": 1}, {"source": 116, "target": 122, "width": 1}, {"source": 116, "target": 123, "width": 1}, {"source": 117, "target": 118, "width": 1}, {"source": 117, "target": 119, "width": 1}, {"source": 117, "target": 121, "width": 1}, {"source": 117, "target": 123, "width": 1}, {"source": 120, "target": 124, "width": 1}, {"source": 120, "target": 125, "width": 1}, {"source": 121, "target": 122, "width": 1}, {"source": 121, "target": 123, "width": 1}, {"source": 121, "target": 125, "width": 1}, {"source": 121, "target": 126, "width": 1}, {"source": 121, "target": 127, "width": 1}, {"source": 122, "target": 125, "width": 1}, {"source": 122, "target": 126, "width": 1}, {"source": 122, "target": 127, "width": 1}, {"source": 123, "target": 125, "width": 1}, {"source": 123, "target": 127, "width": 1}, {"source": 125, "target": 126, "width": 1}, {"source": 125, "target": 127, "width": 1}], "nodes": [{"color": 0.38567067895039214, "id": "", "name": "cube0_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube0_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e42.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.955\n\n1.625\n\n0.735\n\n0.83\n\n0.675\n\n1.375\n\n0.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6013857260526189, "id": "", "name": "cube0_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube0_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.181\n\n3.824\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube1_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube1_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube1_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube1_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube2_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube2_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube2_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube2_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.38544389120539924, "id": "", "name": "cube3_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube3_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e32.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e32.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e34\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.406\n\n0.675\n\n0.775\n\n3.5\n\n1.875\n\n2.0\n\n2.063\n\n4.375\n\n5.00001\n\n0.955\n\n1.625\n\n1.25\n\n1.625\n\n0.735\n\n1.183\n\n1.808\n\n1.984\n\n1.875\n\n4.833\n\n1.438\n\n1.24\n\n1.7\n\n1.766\n\n3.6\n\n1.75\n\n0.83\n\n0.675\n\n1.375\n\n0.875\n\n4.033\n\n1.478\n\n5.00001\n\n1.625\n\n1.063\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6375551141043656, "id": "", "name": "cube3_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube3_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.181\n\n0.801\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube4_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube4_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube4_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube4_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6315228450990843, "id": "", "name": "cube5_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube5_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.9208779495130578, "id": "", "name": "cube5_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube5_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.48408269580021757, "id": "", "name": "cube6_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube6_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e22.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e24.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e1.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e58\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.406\n\n1.558\n\n1.038\n\n1.083\n\n0.775\n\n1.875\n\n2.0\n\n0.875\n\n2.063\n\n4.375\n\n5.00001\n\n1.156\n\n1.625\n\n1.25\n\n1.792\n\n0.9\n\n0.55\n\n5.00001\n\n2.214\n\n2.318\n\n0.839\n\n0.958\n\n1.625\n\n1.808\n\n1.523\n\n1.984\n\n1.875\n\n4.833\n\n1.438\n\n1.24\n\n2.0\n\n1.719\n\n1.278\n\n1.766\n\n2.833\n\n3.6\n\n1.533\n\n1.695\n\n1.545\n\n1.75\n\n0.875\n\n0.713\n\n1.15\n\n1.32\n\n1.478\n\n1.571\n\n0.425\n\n2.25\n\n5.00001\n\n0.675\n\n4.2\n\n0.342\n\n1.625\n\n0.14999\n\n0.991\n\n0.713\n\n0.889\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6395062372580663, "id": "", "name": "cube6_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube6_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e61.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n1.413\n\n2.592\n\n0.801\n\n0.669\n\n2.538\n\n2.552\n\n1.535\n\n2.265\n\n1.631\n\n0.847\n\n1.875\n\n2.954\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.07834681912883376, "id": "", "name": "cube7_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube7_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.16299239304229857, "id": "", "name": "cube7_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube7_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.16299239304229857, "id": "", "name": "cube8_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube8_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8076457192693445, "id": "", "name": "cube8_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube8_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5684256073991526, "id": "", "name": "cube11_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube11_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e72\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.214\n\n1.083\n\n0.875\n\n1.26\n\n0.856\n\n1.446\n\n1.792\n\n0.786\n\n0.6\n\n0.325\n\n0.3\n\n0.9\n\n1.625\n\n0.55\n\n1.795\n\n1.646\n\n2.214\n\n1.955\n\n0.875\n\n1.375\n\n0.839\n\n0.958\n\n1.625\n\n1.741\n\n1.719\n\n1.278\n\n2.833\n\n2.132\n\n1.533\n\n1.469\n\n1.695\n\n1.545\n\n1.393\n\n1.413\n\n1.265\n\n1.938\n\n1.438\n\n1.452\n\n2.444\n\n1.434\n\n0.9\n\n2.592\n\n0.713\n\n0.8\n\n0.713\n\n1.676\n\n0.875\n\n0.89\n\n2.265\n\n1.828\n\n1.32\n\n1.571\n\n1.526\n\n1.339\n\n2.25\n\n5.00001\n\n3.5\n\n5.00001\n\n0.675\n\n4.0\n\n4.2\n\n0.342\n\n2.954\n\n1.892\n\n0.567\n\n0.14999\n\n0.413\n\n0.875\n\n0.991\n\n0.713\n\n0.889\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5537772707451472, "id": "", "name": "cube11_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube11_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e4.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e27.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e45.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e4.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e22\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n3.134\n\n1.531\n\n5.00001\n\n1.221\n\n2.44\n\n1.489\n\n1.375\n\n1.364\n\n3.417\n\n1.585\n\n2.313\n\n0.669\n\n1.352\n\n2.538\n\n2.552\n\n2.309\n\n1.372\n\n1.535\n\n0.924\n\n0.908\n\n1.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2779785842337323, "id": "", "name": "cube12_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube12_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e60.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e40.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.75\n\n5.00001\n\n1.031\n\n3.417\n\n1.585\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6830030524734726, "id": "", "name": "cube12_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube12_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n2.393\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6830030524734726, "id": "", "name": "cube13_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube13_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.675\n\n2.393\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8483453655700373, "id": "", "name": "cube13_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube13_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5177818692766123, "id": "", "name": "cube14_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube14_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.546\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.8483453655700373, "id": "", "name": "cube14_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube14_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.5\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5911623625175638, "id": "", "name": "cube15_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube15_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6729977227578856, "id": "", "name": "cube15_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube15_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.475031526511734, "id": "", "name": "cube17_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube17_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e20.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e2.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:7.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e1.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e74\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.214\n\n4.324\n\n5.00001\n\n1.26\n\n0.675\n\n1.5\n\n0.875\n\n0.771\n\n0.761\n\n0.325\n\n0.588\n\n0.538\n\n0.592\n\n0.575\n\n0.3\n\n2.0\n\n1.625\n\n1.347\n\n2.0\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.825\n\n3.5\n\n1.795\n\n5.00001\n\n2.409\n\n1.646\n\n1.607\n\n1.3\n\n0.875\n\n1.375\n\n5.00001\n\n1.456\n\n1.741\n\n1.792\n\n1.583\n\n1.393\n\n1.188\n\n1.938\n\n1.438\n\n1.115\n\n1.25\n\n1.611\n\n0.9\n\n2.205\n\n2.313\n\n0.8\n\n3.15\n\n0.41\n\n0.425\n\n0.713\n\n1.676\n\n1.655\n\n0.875\n\n0.89\n\n1.76\n\n1.828\n\n1.339\n\n1.286\n\n3.5\n\n5.00001\n\n1.313\n\n4.0\n\n0.904\n\n0.889\n\n0.66\n\n0.413\n\n0.875\n\n0.821\n\n1.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5714647772887029, "id": "", "name": "cube17_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube17_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:8.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e30.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e46.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:8.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e26\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n3.134\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.505\n\n0.785\n\n1.489\n\n1.375\n\n1.364\n\n2.85\n\n3.417\n\n1.585\n\n2.388\n\n3.531\n\n1.625\n\n1.104\n\n1.352\n\n1.625\n\n1.372\n\n1.245\n\n0.924\n\n0.908\n\n0.89\n\n0.863\n\n4.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5586618645390873, "id": "", "name": "cube18_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube18_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e22.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e22.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e9\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.75\n\n1.219\n\n5.00001\n\n2.393\n\n0.535\n\n3.0\n\n1.313\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6091925480885703, "id": "", "name": "cube18_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube18_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e8\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.505\n\n0.785\n\n3.417\n\n1.585\n\n2.388\n\n3.531\n\n1.625\n\n1.625\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7271104866191838, "id": "", "name": "cube19_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube19_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e6\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.219\n\n2.393\n\n0.375\n\n1.313\n\n1.154\n\n3.1\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6673288434517176, "id": "", "name": "cube19_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube19_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.634\n\n0.225\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6673288434517176, "id": "", "name": "cube20_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube20_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.634\n\n0.225\n\n3.875\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5911623625175638, "id": "", "name": "cube20_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube20_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.743\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4959313378419706, "id": "", "name": "cube25_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube25_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e93\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.625\n\n2.25\n\n4.324\n\n5.00001\n\n1.368\n\n0.675\n\n0.741\n\n0.875\n\n0.367\n\n0.771\n\n0.761\n\n1.356\n\n0.938\n\n0.875\n\n0.543\n\n0.588\n\n0.538\n\n0.592\n\n0.25\n\n1.347\n\n1.125\n\n2.0\n\n5.00001\n\n1.125\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.607\n\n1.3\n\n5.00001\n\n1.456\n\n5.00001\n\n1.583\n\n3.125\n\n1.188\n\n1.115\n\n2.143\n\n5.00001\n\n1.247\n\n3.15\n\n0.4\n\n0.75\n\n0.425\n\n0.478\n\n0.41\n\n0.425\n\n1.033\n\n1.5\n\n1.897\n\n1.76\n\n1.33\n\n0.55\n\n1.375\n\n1.875\n\n5.00001\n\n1.188\n\n2.307\n\n2.75\n\n1.0\n\n5.00001\n\n5.00001\n\n2.25\n\n1.172\n\n2.81\n\n5.00001\n\n5.00001\n\n2.25\n\n5.00001\n\n1.313\n\n0.71\n\n0.666\n\n1.625\n\n0.904\n\n0.889\n\n0.66\n\n0.375\n\n1.375\n\n5.00001\n\n0.525\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5714787538155919, "id": "", "name": "cube25_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube25_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:18.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e39.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e28\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.375\n\n1.115\n\n2.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.954\n\n1.625\n\n0.884\n\n1.622\n\n2.356\n\n1.452\n\n2.85\n\n2.388\n\n3.531\n\n1.625\n\n0.674\n\n0.513\n\n1.104\n\n1.625\n\n1.245\n\n1.114\n\n0.89\n\n0.863\n\n2.25\n\n4.5\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6040748098260574, "id": "", "name": "cube26_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube26_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e37.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e8\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n5.00001\n\n1.872\n\n1.945\n\n1.533\n\n4.504\n\n0.63\n\n3.43\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6120403120306218, "id": "", "name": "cube26_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube26_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e30.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e10\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.125\n\n4.954\n\n1.622\n\n1.452\n\n2.388\n\n3.531\n\n1.625\n\n0.513\n\n1.625\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.651552885314211, "id": "", "name": "cube27_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube27_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.357\n\n1.872\n\n0.225\n\n4.504\n\n0.375\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7594844711468579, "id": "", "name": "cube27_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube27_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.533\n\n0.63\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7002398372014148, "id": "", "name": "cube28_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube28_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.977\n\n2.289\n\n2.609\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6729492707980038, "id": "", "name": "cube28_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube28_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.225\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5018007978422727, "id": "", "name": "cube29_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube29_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n4.511\n\n1.185\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.737923348999467, "id": "", "name": "cube29_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube29_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.289\n\n2.609\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5177818692766123, "id": "", "name": "cube30_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube30_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n4.511\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4698386549735937, "id": "", "name": "cube30_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube30_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.185\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5091188137190287, "id": "", "name": "cube33_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube33_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e16.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:24.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:92.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e219\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.75\n\n0.979\n\n1.115\n\n1.235\n\n4.614\n\n5.00001\n\n5.00001\n\n0.675\n\n1.734\n\n0.993\n\n1.625\n\n1.214\n\n0.475\n\n0.45\n\n0.805\n\n0.769\n\n0.755\n\n0.675\n\n0.747\n\n0.741\n\n0.75\n\n1.011\n\n1.058\n\n0.508\n\n0.367\n\n1.656\n\n0.581\n\n0.55\n\n0.713\n\n1.356\n\n0.707\n\n0.768\n\n0.875\n\n0.938\n\n0.875\n\n1.425\n\n0.513\n\n0.439\n\n0.575\n\n0.543\n\n0.25\n\n0.329\n\n0.675\n\n0.475\n\n1.083\n\n2.005\n\n0.969\n\n0.966\n\n1.125\n\n0.679\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.675\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n5.00001\n\n5.00001\n\n2.0\n\n5.00001\n\n4.958\n\n0.875\n\n1.148\n\n2.427\n\n2.75\n\n3.988\n\n4.676\n\n3.314\n\n5.00001\n\n4.87\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.938\n\n1.469\n\n1.635\n\n1.238\n\n1.25\n\n3.125\n\n1.305\n\n0.888\n\n0.75\n\n1.125\n\n2.143\n\n0.884\n\n1.304\n\n0.975\n\n5.00001\n\n1.778\n\n1.247\n\n0.967\n\n0.275\n\n2.75\n\n1.375\n\n0.675\n\n1.125\n\n0.938\n\n3.5\n\n5.00001\n\n0.75\n\n2.5\n\n3.818\n\n0.75\n\n0.75\n\n0.669\n\n0.5\n\n0.965\n\n1.286\n\n1.324\n\n1.441\n\n1.33\n\n1.114\n\n0.55\n\n5.00001\n\n1.375\n\n1.625\n\n1.875\n\n1.125\n\n2.125\n\n1.938\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.776\n\n1.25\n\n0.475\n\n1.188\n\n5.00001\n\n2.307\n\n2.75\n\n1.482\n\n1.981\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n0.225\n\n0.425\n\n0.425\n\n1.172\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.125\n\n4.167\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n1.125\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.9\n\n1.375\n\n0.658\n\n0.666\n\n0.961\n\n0.633\n\n1.292\n\n1.2\n\n1.625\n\n1.021\n\n0.813\n\n0.75\n\n0.792\n\n0.792\n\n0.488\n\n0.8\n\n1.165\n\n2.625\n\n5.00001\n\n0.525\n\n5.00001\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5699794348348058, "id": "", "name": "cube33_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube33_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:17.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e36\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.732\n\n1.395\n\n0.788\n\n1.194\n\n1.684\n\n0.495\n\n5.00001\n\n5.00001\n\n2.125\n\n5.00001\n\n3.59\n\n4.841\n\n4.954\n\n5.00001\n\n1.625\n\n1.156\n\n1.622\n\n2.581\n\n2.924\n\n0.674\n\n1.611\n\n0.906\n\n4.361\n\n4.785\n\n5.00001\n\n0.987\n\n1.625\n\n1.118\n\n1.543\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.0\n\n1.158\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.651371997997319, "id": "", "name": "cube34_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube34_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e26.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e15\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.409\n\n3.523\n\n5.00001\n\n1.11\n\n1.872\n\n1.6\n\n2.225\n\n1.917\n\n1.533\n\n2.25\n\n1.875\n\n3.43\n\n5.00001\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5877464993458985, "id": "", "name": "cube34_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube34_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e5.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e20\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.684\n\n0.495\n\n5.00001\n\n2.125\n\n5.00001\n\n4.841\n\n4.954\n\n5.00001\n\n1.156\n\n1.622\n\n2.581\n\n2.924\n\n0.906\n\n4.361\n\n4.785\n\n1.118\n\n1.543\n\n5.00001\n\n1.158\n\n1.379\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5835519439618475, "id": "", "name": "cube35_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube35_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e35.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.724\n\n1.063\n\n3.587\n\n2.208\n\n1.569\n\n2.808\n\n3.225\n\n2.334\n\n2.611\n\n2.465\n\n1.001\n\n2.252\n\n1.429\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6213652377952974, "id": "", "name": "cube35_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube35_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.409\n\n1.357\n\n1.708\n\n1.11\n\n1.872\n\n2.579\n\n0.74\n\n2.225\n\n1.917\n\n1.739\n\n1.533\n\n2.25\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5835519439618475, "id": "", "name": "cube36_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube36_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e35.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e14\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.724\n\n1.063\n\n3.587\n\n2.208\n\n1.569\n\n2.808\n\n3.225\n\n2.334\n\n2.611\n\n2.465\n\n1.001\n\n2.252\n\n1.429\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6422642718974907, "id": "", "name": "cube36_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube36_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e53.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.683\n\n1.693\n\n1.034\n\n1.606\n\n1.977\n\n1.43\n\n2.289\n\n1.911\n\n1.513\n\n1.306\n\n2.103\n\n2.292\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6005066690661922, "id": "", "name": "cube37_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube37_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e57.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.683\n\n1.034\n\n1.43\n\n2.289\n\n1.911\n\n1.306\n\n0.813\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7365828447760713, "id": "", "name": "cube37_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube37_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e33.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.185\n\n2.449\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2939095886428606, "id": "", "name": "cube38_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube38_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.397\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6223896506613693, "id": "", "name": "cube38_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube38_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.992\n\n1.185\n\n2.123\n\n3.213\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.2939095886428606, "id": "", "name": "cube39_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube39_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.397\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5680507776539562, "id": "", "name": "cube39_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube39_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.663\n\n1.537\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.49949125442124137, "id": "", "name": "cube40_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube40_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.663\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.6366103008866709, "id": "", "name": "cube40_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube40_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.537\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.46723370576103346, "id": "", "name": "cube41_cluster0", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube41_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e24.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:6.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e1.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e406\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.6\n\n0.675\n\n5.00001\n\n3.926\n\n4.103\n\n3.97\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.375\n\n4.0\n\n1.176\n\n0.979\n\n1.117\n\n1.235\n\n1.125\n\n4.614\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.042\n\n0.675\n\n1.094\n\n0.858\n\n0.732\n\n1.224\n\n0.75\n\n1.036\n\n1.527\n\n1.167\n\n0.711\n\n1.734\n\n0.846\n\n1.072\n\n0.993\n\n1.078\n\n1.625\n\n1.276\n\n1.214\n\n1.177\n\n0.875\n\n0.433\n\n0.75\n\n0.45\n\n0.14999\n\n0.805\n\n0.769\n\n0.625\n\n0.927\n\n0.854\n\n0.683\n\n0.7\n\n0.705\n\n0.646\n\n0.705\n\n0.82\n\n0.702\n\n0.722\n\n0.67\n\n1.161\n\n0.828\n\n0.726\n\n0.741\n\n0.747\n\n0.81\n\n1.042\n\n0.818\n\n0.906\n\n0.961\n\n0.992\n\n1.011\n\n1.058\n\n0.575\n\n0.741\n\n0.508\n\n0.788\n\n0.798\n\n0.5\n\n0.592\n\n0.627\n\n0.838\n\n0.628\n\n1.194\n\n1.434\n\n0.979\n\n0.756\n\n0.842\n\n0.755\n\n0.902\n\n1.656\n\n0.784\n\n1.118\n\n1.306\n\n0.581\n\n0.79\n\n0.921\n\n0.851\n\n0.668\n\n0.973\n\n0.926\n\n0.948\n\n0.55\n\n0.713\n\n1.114\n\n1.067\n\n0.946\n\n0.707\n\n0.74\n\n0.768\n\n1.019\n\n0.875\n\n1.0\n\n0.536\n\n0.644\n\n0.813\n\n0.513\n\n0.439\n\n0.628\n\n0.628\n\n0.544\n\n0.538\n\n0.475\n\n0.329\n\n0.6\n\n0.675\n\n0.6\n\n2.75\n\n0.95\n\n1.083\n\n0.89\n\n0.697\n\n1.125\n\n1.115\n\n1.094\n\n1.097\n\n2.005\n\n0.966\n\n0.679\n\n0.4\n\n5.00001\n\n4.831\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n0.906\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n4.5\n\n2.143\n\n5.00001\n\n2.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.458\n\n1.5\n\n1.656\n\n0.609\n\n0.875\n\n0.972\n\n0.475\n\n0.561\n\n2.427\n\n1.698\n\n0.729\n\n1.625\n\n1.667\n\n2.75\n\n0.906\n\n1.163\n\n1.381\n\n4.676\n\n5.00001\n\n4.87\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.926\n\n1.653\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.625\n\n5.00001\n\n5.00001\n\n1.938\n\n1.469\n\n1.969\n\n1.635\n\n1.305\n\n0.888\n\n0.75\n\n0.894\n\n1.134\n\n1.125\n\n1.938\n\n4.656\n\n5.00001\n\n1.475\n\n0.55\n\n1.0\n\n1.635\n\n0.766\n\n0.81\n\n5.00001\n\n2.321\n\n1.346\n\n0.975\n\n0.967\n\n1.125\n\n3.667\n\n0.275\n\n0.857\n\n0.734\n\n2.75\n\n1.375\n\n1.875\n\n0.938\n\n0.879\n\n1.681\n\n4.058\n\n1.125\n\n5.00001\n\n2.75\n\n0.75\n\n2.5\n\n3.818\n\n1.769\n\n0.658\n\n0.669\n\n0.5\n\n1.336\n\n0.965\n\n1.176\n\n1.441\n\n1.719\n\n1.239\n\n1.084\n\n0.533\n\n4.596\n\n5.00001\n\n1.375\n\n1.5\n\n0.938\n\n0.875\n\n0.865\n\n1.625\n\n1.375\n\n1.625\n\n0.225\n\n2.5\n\n1.167\n\n1.125\n\n1.125\n\n3.0\n\n3.457\n\n2.125\n\n1.938\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n0.475\n\n0.6\n\n3.423\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.447\n\n3.133\n\n4.192\n\n2.813\n\n1.375\n\n1.344\n\n1.482\n\n1.938\n\n1.764\n\n0.588\n\n2.406\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.75\n\n0.225\n\n0.675\n\n0.55\n\n2.402\n\n0.425\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.844\n\n2.125\n\n3.029\n\n4.167\n\n5.00001\n\n5.00001\n\n1.125\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.9\n\n3.0\n\n1.232\n\n0.658\n\n0.788\n\n1.078\n\n0.804\n\n0.924\n\n0.961\n\n0.646\n\n0.654\n\n0.633\n\n0.719\n\n0.575\n\n1.665\n\n1.292\n\n1.2\n\n1.183\n\n1.171\n\n1.313\n\n2.326\n\n1.75\n\n0.75\n\n1.875\n\n0.825\n\n1.125\n\n0.798\n\n0.717\n\n0.792\n\n0.55\n\n0.65\n\n0.488\n\n0.645\n\n0.675\n\n1.165\n\n1.625\n\n2.625\n\n2.75\n\n5.00001\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.48611442718400133, "id": "", "name": "cube41_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube41_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e15.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e83\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n4.251\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n0.684\n\n0.746\n\n0.783\n\n0.669\n\n0.695\n\n3.459\n\n0.551\n\n0.981\n\n0.811\n\n0.926\n\n1.395\n\n1.113\n\n0.901\n\n0.677\n\n1.684\n\n0.908\n\n0.495\n\n5.00001\n\n3.5\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.238\n\n1.218\n\n1.719\n\n5.00001\n\n5.00001\n\n1.597\n\n4.601\n\n3.02\n\n4.538\n\n5.00001\n\n5.00001\n\n1.232\n\n1.517\n\n4.771\n\n4.777\n\n1.773\n\n2.302\n\n1.156\n\n1.839\n\n1.151\n\n2.581\n\n1.058\n\n1.625\n\n2.924\n\n1.833\n\n1.611\n\n2.188\n\n1.236\n\n0.675\n\n4.293\n\n5.00001\n\n2.438\n\n5.00001\n\n1.245\n\n1.625\n\n1.625\n\n1.118\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.028\n\n2.837\n\n1.629\n\n2.316\n\n5.00001\n\n1.114\n\n0.62\n\n0.796\n\n0.56\n\n3.052\n\n1.238\n\n1.158\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5715347042930744, "id": "", "name": "cube42_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube42_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e21.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e42\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.183\n\n3.409\n\n2.289\n\n0.608\n\n0.556\n\n0.884\n\n5.00001\n\n5.00001\n\n3.523\n\n0.479\n\n4.153\n\n1.641\n\n1.11\n\n4.815\n\n1.6\n\n2.173\n\n3.152\n\n1.878\n\n1.527\n\n1.345\n\n1.993\n\n0.95\n\n0.664\n\n0.659\n\n2.732\n\n3.431\n\n1.917\n\n1.492\n\n0.656\n\n2.606\n\n2.75\n\n2.25\n\n5.00001\n\n2.081\n\n1.875\n\n1.279\n\n1.822\n\n1.786\n\n4.734\n\n4.5\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5126524986983343, "id": "", "name": "cube42_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube42_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:15.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:15.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e3.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e63\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n2.729\n\n0.684\n\n0.669\n\n0.551\n\n0.981\n\n0.926\n\n0.901\n\n0.677\n\n1.684\n\n0.495\n\n5.00001\n\n3.5\n\n5.00001\n\n3.5\n\n5.00001\n\n1.238\n\n1.218\n\n5.00001\n\n1.597\n\n3.02\n\n4.538\n\n5.00001\n\n5.00001\n\n1.232\n\n1.517\n\n1.375\n\n4.771\n\n4.777\n\n1.773\n\n2.302\n\n1.156\n\n1.151\n\n2.581\n\n1.058\n\n1.625\n\n2.924\n\n1.833\n\n1.236\n\n0.675\n\n2.438\n\n5.00001\n\n1.063\n\n1.245\n\n1.625\n\n1.118\n\n5.00001\n\n5.00001\n\n2.028\n\n2.837\n\n1.629\n\n5.00001\n\n1.114\n\n0.796\n\n0.56\n\n3.052\n\n1.238\n\n1.158\n\n4.258\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5641483760518113, "id": "", "name": "cube43_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube43_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e2.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e20.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e48\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.735\n\n1.531\n\n2.137\n\n2.724\n\n1.063\n\n2.375\n\n0.7\n\n3.491\n\n3.587\n\n3.489\n\n1.923\n\n1.927\n\n5.00001\n\n5.00001\n\n2.362\n\n2.363\n\n3.209\n\n1.689\n\n2.208\n\n1.272\n\n1.873\n\n0.909\n\n1.296\n\n1.459\n\n1.818\n\n1.739\n\n1.221\n\n1.569\n\n2.05\n\n2.808\n\n2.107\n\n3.225\n\n2.334\n\n2.297\n\n3.083\n\n2.611\n\n2.465\n\n1.841\n\n2.327\n\n1.934\n\n3.75\n\n1.001\n\n2.252\n\n1.429\n\n3.576\n\n3.081\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5601915356096845, "id": "", "name": "cube43_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube43_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e3.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e17.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e31.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e29\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.183\n\n3.409\n\n2.289\n\n0.608\n\n0.556\n\n2.224\n\n0.479\n\n4.153\n\n1.641\n\n1.11\n\n2.173\n\n1.878\n\n1.527\n\n1.993\n\n0.95\n\n0.74\n\n0.991\n\n3.431\n\n1.917\n\n1.473\n\n1.492\n\n0.656\n\n2.606\n\n2.25\n\n5.00001\n\n1.279\n\n1.822\n\n1.693\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5575222698609225, "id": "", "name": "cube44_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube44_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:11.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e2.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e17.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e19.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e47\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.507\n\n2.735\n\n1.531\n\n2.137\n\n2.724\n\n1.063\n\n2.375\n\n0.7\n\n3.491\n\n3.587\n\n3.489\n\n1.923\n\n1.927\n\n5.00001\n\n1.418\n\n2.362\n\n2.363\n\n3.209\n\n1.689\n\n1.693\n\n2.208\n\n1.951\n\n1.272\n\n1.873\n\n1.296\n\n1.459\n\n1.818\n\n1.221\n\n1.569\n\n2.808\n\n2.107\n\n3.225\n\n2.334\n\n2.297\n\n3.083\n\n2.611\n\n2.465\n\n1.841\n\n2.327\n\n2.865\n\n3.75\n\n1.001\n\n2.252\n\n2.292\n\n1.429\n\n3.081\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5077829998223428, "id": "", "name": "cube44_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube44_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e15\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.107\n\n3.156\n\n3.683\n\n3.625\n\n1.545\n\n3.185\n\n1.946\n\n2.651\n\n1.034\n\n1.606\n\n1.309\n\n1.306\n\n2.155\n\n1.985\n\n2.103\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5077951749302105, "id": "", "name": "cube45_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube45_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e30.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e13\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.156\n\n3.683\n\n3.625\n\n3.185\n\n1.44\n\n1.946\n\n2.651\n\n1.034\n\n1.309\n\n1.306\n\n2.896\n\n1.985\n\n2.449\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7276515335045303, "id": "", "name": "cube45_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube45_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.122\n\n0.283\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5918406899559088, "id": "", "name": "cube46_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube46_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.123\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.7276515335045303, "id": "", "name": "cube46_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube46_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.122\n\n0.283\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4874581100772469, "id": "", "name": "cube48_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube48_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e23.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:36.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e605\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.6\n\n0.761\n\n1.188\n\n1.625\n\n3.926\n\n4.103\n\n0.75\n\n4.305\n\n3.97\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.6\n\n4.758\n\n4.0\n\n1.176\n\n1.209\n\n1.117\n\n0.948\n\n1.125\n\n0.69\n\n0.55\n\n0.625\n\n0.795\n\n0.583\n\n0.517\n\n0.425\n\n0.864\n\n1.137\n\n0.688\n\n1.125\n\n0.875\n\n4.261\n\n0.994\n\n5.00001\n\n5.00001\n\n1.094\n\n0.858\n\n1.059\n\n1.036\n\n1.527\n\n2.125\n\n0.846\n\n1.072\n\n1.185\n\n1.019\n\n1.347\n\n1.276\n\n1.097\n\n1.177\n\n1.188\n\n1.132\n\n0.98\n\n0.433\n\n2.292\n\n1.134\n\n0.625\n\n0.683\n\n0.7\n\n0.705\n\n0.646\n\n0.705\n\n0.82\n\n0.856\n\n0.813\n\n0.702\n\n0.722\n\n0.67\n\n1.161\n\n0.828\n\n0.69\n\n0.726\n\n0.81\n\n1.042\n\n0.818\n\n0.906\n\n0.864\n\n0.928\n\n0.9\n\n0.961\n\n0.869\n\n0.811\n\n0.83\n\n0.928\n\n1.43\n\n1.339\n\n0.992\n\n0.741\n\n0.821\n\n1.36\n\n0.798\n\n0.5\n\n0.592\n\n0.628\n\n0.979\n\n1.027\n\n0.988\n\n0.756\n\n0.842\n\n1.063\n\n0.755\n\n0.96\n\n0.817\n\n0.996\n\n0.736\n\n0.701\n\n1.269\n\n0.784\n\n1.197\n\n1.118\n\n1.289\n\n1.005\n\n1.306\n\n0.79\n\n1.07\n\n0.864\n\n0.921\n\n0.851\n\n0.796\n\n1.281\n\n0.668\n\n0.952\n\n0.973\n\n0.926\n\n0.925\n\n0.751\n\n0.741\n\n0.948\n\n0.723\n\n0.575\n\n0.705\n\n1.114\n\n1.067\n\n0.946\n\n0.543\n\n0.824\n\n1.015\n\n1.019\n\n0.4\n\n0.725\n\n0.675\n\n1.0\n\n1.125\n\n0.536\n\n0.686\n\n0.694\n\n0.681\n\n0.644\n\n0.944\n\n0.958\n\n0.813\n\n0.628\n\n0.675\n\n0.544\n\n0.538\n\n0.475\n\n0.5\n\n0.45\n\n0.44\n\n0.6\n\n0.425\n\n0.475\n\n0.784\n\n1.375\n\n1.0\n\n0.725\n\n0.683\n\n0.95\n\n0.958\n\n0.788\n\n0.947\n\n0.89\n\n0.697\n\n1.115\n\n0.724\n\n1.094\n\n0.773\n\n0.49\n\n1.142\n\n1.0\n\n1.321\n\n0.875\n\n0.481\n\n0.592\n\n0.702\n\n1.743\n\n5.00001\n\n4.831\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.357\n\n1.568\n\n2.25\n\n2.75\n\n3.125\n\n0.388\n\n1.583\n\n1.275\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n1.875\n\n1.125\n\n1.469\n\n5.00001\n\n4.062\n\n1.875\n\n1.625\n\n5.00001\n\n1.333\n\n1.363\n\n1.313\n\n4.833\n\n5.00001\n\n1.875\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.99\n\n1.054\n\n0.974\n\n1.375\n\n1.042\n\n2.0\n\n3.0\n\n4.5\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.375\n\n4.5\n\n1.917\n\n2.143\n\n2.313\n\n2.125\n\n3.167\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.1\n\n5.00001\n\n2.615\n\n0.792\n\n0.698\n\n1.458\n\n1.0\n\n1.104\n\n0.95\n\n1.5\n\n2.25\n\n1.656\n\n0.609\n\n0.972\n\n0.44\n\n0.575\n\n0.691\n\n0.475\n\n0.526\n\n1.698\n\n1.889\n\n1.625\n\n1.125\n\n0.729\n\n1.469\n\n2.0\n\n4.528\n\n5.00001\n\n5.0\n\n1.469\n\n3.25\n\n1.667\n\n1.528\n\n0.906\n\n0.857\n\n1.163\n\n1.381\n\n2.083\n\n4.543\n\n4.17\n\n5.00001\n\n3.887\n\n3.48\n\n4.474\n\n3.782\n\n5.00001\n\n3.089\n\n5.00001\n\n4.93\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.926\n\n1.653\n\n1.59\n\n1.544\n\n1.58\n\n4.872\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.569\n\n1.625\n\n4.628\n\n1.458\n\n1.969\n\n1.365\n\n2.18\n\n0.882\n\n0.894\n\n1.134\n\n1.938\n\n4.656\n\n4.933\n\n5.00001\n\n1.475\n\n0.55\n\n1.635\n\n0.5\n\n0.766\n\n5.00001\n\n3.219\n\n3.016\n\n2.481\n\n2.321\n\n1.346\n\n0.55\n\n1.383\n\n1.375\n\n1.674\n\n0.5\n\n1.125\n\n3.667\n\n0.689\n\n0.614\n\n0.717\n\n0.857\n\n0.734\n\n1.688\n\n1.375\n\n1.417\n\n1.875\n\n0.938\n\n0.879\n\n1.681\n\n1.575\n\n1.375\n\n4.058\n\n0.654\n\n0.675\n\n0.821\n\n1.125\n\n1.884\n\n2.625\n\n0.731\n\n1.644\n\n1.313\n\n0.658\n\n0.691\n\n0.486\n\n0.868\n\n1.175\n\n4.596\n\n2.896\n\n1.375\n\n2.25\n\n2.042\n\n1.5\n\n3.314\n\n1.655\n\n0.865\n\n0.938\n\n0.756\n\n1.113\n\n0.911\n\n0.72\n\n0.9\n\n0.875\n\n0.225\n\n2.05\n\n2.0\n\n2.25\n\n1.167\n\n2.625\n\n1.958\n\n4.188\n\n1.625\n\n3.0\n\n3.345\n\n3.457\n\n3.452\n\n1.938\n\n5.00001\n\n5.00001\n\n0.675\n\n1.313\n\n3.913\n\n0.675\n\n0.6\n\n0.833\n\n2.817\n\n1.542\n\n3.423\n\n1.211\n\n1.482\n\n1.676\n\n1.446\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.447\n\n3.133\n\n4.192\n\n2.589\n\n2.0\n\n4.441\n\n0.837\n\n0.588\n\n1.107\n\n0.618\n\n2.406\n\n5.00001\n\n2.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.75\n\n1.875\n\n3.5\n\n1.125\n\n1.625\n\n2.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.875\n\n0.52\n\n0.675\n\n0.55\n\n0.54\n\n2.42\n\n1.5\n\n1.375\n\n2.402\n\n2.151\n\n1.967\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.7\n\n5.00001\n\n5.00001\n\n4.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n2.861\n\n5.00001\n\n5.00001\n\n1.292\n\n2.0\n\n3.029\n\n1.125\n\n5.00001\n\n1.875\n\n3.679\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n2.583\n\n1.166\n\n5.00001\n\n0.689\n\n0.769\n\n0.726\n\n0.875\n\n0.844\n\n1.516\n\n1.142\n\n1.465\n\n0.773\n\n0.566\n\n0.758\n\n0.481\n\n1.232\n\n0.788\n\n1.078\n\n0.656\n\n0.875\n\n0.804\n\n0.774\n\n0.903\n\n0.924\n\n0.686\n\n0.535\n\n0.646\n\n0.544\n\n0.654\n\n0.701\n\n0.813\n\n0.632\n\n0.942\n\n0.462\n\n0.531\n\n0.801\n\n0.719\n\n0.655\n\n1.094\n\n1.625\n\n0.786\n\n1.665\n\n2.553\n\n2.583\n\n1.5\n\n1.621\n\n1.183\n\n1.327\n\n0.987\n\n1.171\n\n1.393\n\n1.333\n\n1.313\n\n2.326\n\n1.125\n\n3.648\n\n1.975\n\n1.5\n\n1.271\n\n1.875\n\n0.825\n\n2.75\n\n1.125\n\n0.675\n\n0.727\n\n0.798\n\n0.519\n\n0.717\n\n0.942\n\n0.847\n\n0.55\n\n0.645\n\n0.675\n\n0.43\n\n0.875\n\n1.046\n\n1.362\n\n1.625\n\n2.75\n\n2.438\n\n2.75\n\n2.25\n\n0.579\n\n0.775\n\n0.72\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5000134281145958, "id": "", "name": "cube48_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube48_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e16.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:82.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e175\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.181\n\n3.714\n\n3.5\n\n2.536\n\n1.438\n\n2.0\n\n5.00001\n\n0.652\n\n1.33\n\n4.034\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n5.00001\n\n0.783\n\n0.669\n\n0.695\n\n3.459\n\n0.694\n\n1.125\n\n0.996\n\n1.006\n\n0.981\n\n0.811\n\n0.926\n\n1.113\n\n1.199\n\n0.901\n\n0.768\n\n0.699\n\n0.64\n\n0.701\n\n0.727\n\n0.677\n\n0.561\n\n2.458\n\n0.908\n\n1.426\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.936\n\n1.531\n\n0.938\n\n3.5\n\n2.75\n\n1.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n1.488\n\n5.00001\n\n1.238\n\n1.218\n\n1.833\n\n1.719\n\n1.475\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.295\n\n5.00001\n\n0.604\n\n0.762\n\n1.597\n\n4.601\n\n5.00001\n\n3.14\n\n4.137\n\n3.576\n\n3.02\n\n5.00001\n\n2.79\n\n3.861\n\n5.00001\n\n5.00001\n\n1.232\n\n1.802\n\n1.517\n\n1.625\n\n4.777\n\n1.55\n\n1.773\n\n4.29\n\n0.704\n\n1.109\n\n1.839\n\n1.058\n\n0.606\n\n0.654\n\n0.586\n\n1.0\n\n1.625\n\n1.818\n\n1.572\n\n0.979\n\n1.577\n\n2.188\n\n0.831\n\n3.458\n\n4.676\n\n1.236\n\n1.276\n\n1.25\n\n2.478\n\n3.874\n\n3.783\n\n3.003\n\n2.438\n\n5.00001\n\n2.25\n\n5.00001\n\n4.184\n\n2.75\n\n3.134\n\n0.525\n\n1.625\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.728\n\n2.837\n\n1.601\n\n1.629\n\n1.736\n\n2.059\n\n3.356\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.592\n\n1.514\n\n0.782\n\n1.201\n\n1.05\n\n1.114\n\n0.435\n\n0.44\n\n0.586\n\n0.62\n\n0.557\n\n0.796\n\n0.811\n\n0.761\n\n1.101\n\n0.56\n\n0.629\n\n1.711\n\n0.875\n\n2.051\n\n2.25\n\n0.912\n\n1.238\n\n0.506\n\n1.941\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5398774771064488, "id": "", "name": "cube49_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube49_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e17.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:35.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e96\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.3\n\n3.183\n\n3.898\n\n3.137\n\n0.988\n\n3.677\n\n3.692\n\n3.567\n\n0.556\n\n0.647\n\n1.437\n\n1.408\n\n0.569\n\n0.884\n\n2.139\n\n5.00001\n\n5.00001\n\n1.625\n\n1.875\n\n5.00001\n\n1.162\n\n4.025\n\n1.272\n\n1.514\n\n5.00001\n\n1.642\n\n1.482\n\n1.319\n\n1.402\n\n5.00001\n\n4.72\n\n5.00001\n\n2.044\n\n1.513\n\n0.479\n\n1.005\n\n3.653\n\n1.625\n\n1.485\n\n2.223\n\n2.878\n\n2.173\n\n1.526\n\n0.744\n\n0.666\n\n1.425\n\n1.319\n\n1.213\n\n1.993\n\n0.95\n\n0.9\n\n0.664\n\n0.659\n\n1.293\n\n1.896\n\n2.732\n\n1.125\n\n3.614\n\n2.317\n\n1.492\n\n1.038\n\n0.78\n\n0.668\n\n0.656\n\n1.668\n\n1.891\n\n2.606\n\n1.444\n\n2.939\n\n3.149\n\n2.962\n\n4.113\n\n1.175\n\n3.53\n\n2.21\n\n2.75\n\n2.5\n\n1.819\n\n5.00001\n\n1.46\n\n1.707\n\n2.081\n\n1.79\n\n1.822\n\n1.786\n\n4.734\n\n1.506\n\n1.441\n\n1.871\n\n1.81\n\n1.919\n\n3.247\n\n0.958\n\n1.603\n\n4.5\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5138067102530832, "id": "", "name": "cube49_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube49_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e15.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:74.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:47.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:32.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e7.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e127\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.181\n\n3.714\n\n3.5\n\n2.536\n\n1.438\n\n2.0\n\n5.00001\n\n3.365\n\n0.652\n\n1.33\n\n4.034\n\n5.00001\n\n5.00001\n\n4.504\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.729\n\n0.669\n\n1.125\n\n0.981\n\n0.926\n\n0.901\n\n0.701\n\n0.727\n\n0.677\n\n1.426\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.936\n\n0.938\n\n3.5\n\n2.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.488\n\n1.238\n\n1.218\n\n1.475\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.295\n\n0.604\n\n1.597\n\n3.14\n\n4.137\n\n3.576\n\n3.02\n\n3.861\n\n5.00001\n\n5.00001\n\n1.15\n\n1.232\n\n1.802\n\n1.517\n\n1.635\n\n4.777\n\n1.55\n\n1.773\n\n4.29\n\n1.109\n\n1.058\n\n0.606\n\n0.654\n\n0.586\n\n1.0\n\n1.625\n\n1.818\n\n1.577\n\n0.831\n\n3.458\n\n4.676\n\n1.236\n\n1.276\n\n1.25\n\n1.088\n\n2.478\n\n1.345\n\n3.874\n\n3.003\n\n2.438\n\n5.00001\n\n2.25\n\n5.00001\n\n4.184\n\n3.134\n\n1.063\n\n1.379\n\n1.625\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.728\n\n2.837\n\n1.601\n\n1.629\n\n1.736\n\n2.059\n\n3.356\n\n5.00001\n\n4.592\n\n1.514\n\n0.782\n\n1.201\n\n1.05\n\n1.114\n\n0.44\n\n0.557\n\n0.796\n\n0.811\n\n1.101\n\n0.56\n\n0.629\n\n1.711\n\n0.875\n\n2.051\n\n1.238\n\n0.506\n\n4.258\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5407631956103929, "id": "", "name": "cube50_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube50_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e23.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e17.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e4.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e69\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.416\n\n3.183\n\n3.137\n\n0.988\n\n3.692\n\n3.567\n\n0.556\n\n0.647\n\n1.437\n\n1.408\n\n2.139\n\n1.875\n\n1.162\n\n4.025\n\n5.00001\n\n1.642\n\n1.319\n\n5.00001\n\n4.72\n\n5.00001\n\n2.044\n\n2.224\n\n1.513\n\n0.479\n\n1.005\n\n1.625\n\n2.173\n\n1.581\n\n1.526\n\n1.83\n\n0.744\n\n0.666\n\n1.319\n\n1.993\n\n0.95\n\n0.9\n\n1.079\n\n1.293\n\n1.896\n\n1.125\n\n2.317\n\n3.115\n\n1.419\n\n1.41\n\n1.473\n\n1.492\n\n1.038\n\n0.668\n\n0.656\n\n1.891\n\n2.606\n\n1.444\n\n2.939\n\n3.149\n\n2.962\n\n4.113\n\n1.175\n\n3.53\n\n2.21\n\n2.5\n\n5.00001\n\n1.707\n\n1.79\n\n1.822\n\n1.441\n\n1.919\n\n0.958\n\n1.278\n\n5.00001\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5865450954674215, "id": "", "name": "cube50_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube50_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e2.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e21.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e18.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e71\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.698\n\n2.782\n\n2.735\n\n2.45\n\n1.775\n\n2.375\n\n0.7\n\n3.491\n\n3.489\n\n1.826\n\n1.668\n\n1.923\n\n1.927\n\n3.547\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.469\n\n2.362\n\n2.377\n\n2.363\n\n3.209\n\n2.953\n\n1.875\n\n1.561\n\n1.689\n\n3.403\n\n1.983\n\n1.444\n\n1.38\n\n1.829\n\n1.42\n\n1.387\n\n1.272\n\n1.366\n\n1.318\n\n1.622\n\n0.978\n\n0.909\n\n1.03\n\n1.345\n\n1.297\n\n1.296\n\n1.459\n\n1.212\n\n1.818\n\n2.456\n\n0.35\n\n1.221\n\n0.956\n\n2.05\n\n1.232\n\n1.841\n\n1.137\n\n1.194\n\n1.681\n\n3.258\n\n1.773\n\n1.953\n\n2.645\n\n2.674\n\n3.75\n\n1.795\n\n1.621\n\n3.018\n\n2.068\n\n3.081\n\n2.018\n\n2.194\n\n1.325\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.42904465485628895, "id": "", "name": "cube51_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube51_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e26.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e19\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.818\n\n2.389\n\n1.6\n\n3.107\n\n2.67\n\n2.262\n\n3.625\n\n1.545\n\n3.185\n\n1.418\n\n2.252\n\n1.946\n\n2.651\n\n1.951\n\n1.163\n\n1.696\n\n1.326\n\n2.155\n\n2.865\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.563598897575407, "id": "", "name": "cube51_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube51_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e19.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e17.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e19.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:30.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e51\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.698\n\n2.735\n\n2.45\n\n1.775\n\n2.375\n\n0.7\n\n3.491\n\n3.489\n\n1.826\n\n1.668\n\n1.923\n\n1.927\n\n3.547\n\n5.00001\n\n5.00001\n\n2.362\n\n2.377\n\n2.363\n\n3.209\n\n1.689\n\n1.444\n\n1.38\n\n1.829\n\n1.42\n\n1.387\n\n1.272\n\n1.366\n\n1.318\n\n1.622\n\n1.03\n\n1.345\n\n1.297\n\n1.296\n\n1.459\n\n1.818\n\n2.456\n\n0.35\n\n1.221\n\n0.956\n\n1.232\n\n1.841\n\n1.137\n\n2.645\n\n2.674\n\n3.75\n\n1.795\n\n3.018\n\n3.081\n\n2.018\n\n1.325\n\n1.083\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4290372595571491, "id": "", "name": "cube52_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube52_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e10\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.6\n\n2.262\n\n3.625\n\n3.185\n\n1.44\n\n1.953\n\n1.946\n\n2.651\n\n1.696\n\n1.326\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4581980716119967, "id": "", "name": "cube52_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube52_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e4\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.652\n\n1.381\n\n1.528\n\n2.122\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5267939338146228, "id": "", "name": "cube53_cluster1", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube53_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.381\n\n2.122\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.47211589708803725, "id": "", "name": "cube53_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube53_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.528\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5300145209055525, "id": "", "name": "cube54_cluster0", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube54_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:28.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e10.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e990\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.521\n\n1.5\n\n1.719\n\n0.853\n\n0.75\n\n0.861\n\n0.761\n\n0.813\n\n0.85\n\n1.775\n\n1.125\n\n1.375\n\n1.625\n\n1.375\n\n3.5\n\n0.955\n\n0.95\n\n0.808\n\n0.828\n\n4.175\n\n4.305\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.661\n\n4.716\n\n1.6\n\n2.256\n\n2.313\n\n4.758\n\n4.188\n\n1.209\n\n0.781\n\n1.792\n\n0.948\n\n2.0\n\n1.125\n\n0.69\n\n0.55\n\n0.779\n\n0.58\n\n0.858\n\n0.928\n\n0.947\n\n0.625\n\n0.833\n\n0.795\n\n0.583\n\n0.517\n\n0.579\n\n0.425\n\n0.418\n\n0.6\n\n0.864\n\n1.125\n\n0.75\n\n0.875\n\n0.675\n\n2.25\n\n2.5\n\n1.375\n\n1.563\n\n3.392\n\n3.56\n\n4.347\n\n4.261\n\n0.994\n\n5.00001\n\n4.277\n\n3.294\n\n2.464\n\n2.125\n\n2.75\n\n1.042\n\n1.868\n\n2.125\n\n0.922\n\n1.316\n\n1.042\n\n1.097\n\n1.036\n\n0.896\n\n1.036\n\n1.019\n\n0.944\n\n1.347\n\n0.976\n\n1.083\n\n0.525\n\n2.292\n\n1.873\n\n1.134\n\n0.639\n\n0.694\n\n0.55\n\n0.875\n\n1.125\n\n0.543\n\n0.875\n\n1.25\n\n0.813\n\n0.864\n\n0.928\n\n0.996\n\n1.006\n\n0.869\n\n0.83\n\n0.928\n\n1.36\n\n0.988\n\n0.96\n\n0.817\n\n1.269\n\n1.197\n\n1.005\n\n0.864\n\n0.952\n\n0.925\n\n0.751\n\n0.741\n\n0.723\n\n0.705\n\n1.015\n\n0.608\n\n0.534\n\n0.467\n\n0.4\n\n0.433\n\n0.725\n\n0.917\n\n1.135\n\n0.637\n\n0.694\n\n0.664\n\n0.675\n\n1.463\n\n1.138\n\n0.675\n\n0.686\n\n0.832\n\n1.028\n\n0.963\n\n0.675\n\n0.875\n\n0.726\n\n0.938\n\n0.612\n\n0.631\n\n0.61\n\n0.561\n\n0.694\n\n0.583\n\n0.681\n\n0.996\n\n1.101\n\n1.599\n\n0.972\n\n1.403\n\n0.958\n\n0.731\n\n0.847\n\n0.5\n\n0.561\n\n0.45\n\n0.44\n\n0.14999\n\n0.425\n\n0.638\n\n0.486\n\n0.5\n\n0.475\n\n0.923\n\n0.784\n\n1.0\n\n2.25\n\n0.989\n\n0.683\n\n0.736\n\n0.926\n\n1.432\n\n1.663\n\n0.958\n\n0.788\n\n0.947\n\n0.668\n\n0.65\n\n0.724\n\n0.778\n\n0.6\n\n0.64\n\n0.588\n\n0.713\n\n0.62\n\n0.632\n\n0.582\n\n0.689\n\n0.55\n\n1.142\n\n1.139\n\n1.194\n\n1.0\n\n0.917\n\n1.321\n\n0.875\n\n0.481\n\n0.592\n\n0.808\n\n0.641\n\n0.702\n\n0.593\n\n0.7\n\n0.735\n\n1.379\n\n1.375\n\n1.743\n\n3.25\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.542\n\n4.688\n\n5.00001\n\n5.00001\n\n2.25\n\n1.357\n\n1.094\n\n1.568\n\n1.417\n\n1.406\n\n2.25\n\n0.875\n\n3.125\n\n1.75\n\n1.875\n\n1.125\n\n2.75\n\n5.00001\n\n4.5\n\n1.5\n\n4.338\n\n5.00001\n\n1.75\n\n0.388\n\n1.875\n\n1.583\n\n1.0\n\n0.906\n\n1.275\n\n0.934\n\n0.986\n\n1.313\n\n0.813\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.5\n\n5.00001\n\n5.00001\n\n1.844\n\n3.5\n\n5.00001\n\n4.5\n\n1.875\n\n1.469\n\n4.062\n\n1.625\n\n1.875\n\n2.688\n\n0.926\n\n1.333\n\n1.363\n\n1.125\n\n1.375\n\n0.946\n\n5.00001\n\n1.313\n\n1.75\n\n5.00001\n\n4.441\n\n5.00001\n\n1.875\n\n5.00001\n\n1.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.986\n\n1.625\n\n1.563\n\n0.982\n\n1.125\n\n3.5\n\n1.833\n\n0.964\n\n1.107\n\n1.896\n\n0.99\n\n0.914\n\n1.455\n\n0.932\n\n1.25\n\n1.054\n\n0.984\n\n1.375\n\n1.125\n\n1.5\n\n1.042\n\n1.313\n\n1.625\n\n2.0\n\n3.0\n\n4.5\n\n1.75\n\n2.458\n\n5.00001\n\n5.00001\n\n2.25\n\n3.3\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.25\n\n1.256\n\n1.625\n\n1.917\n\n0.523\n\n4.232\n\n3.45\n\n4.0\n\n3.973\n\n2.313\n\n2.125\n\n3.167\n\n5.00001\n\n2.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.635\n\n5.00001\n\n2.75\n\n2.615\n\n1.635\n\n0.7\n\n0.579\n\n0.603\n\n0.792\n\n1.0\n\n0.715\n\n1.573\n\n1.65\n\n1.104\n\n1.316\n\n0.95\n\n1.133\n\n0.936\n\n1.058\n\n0.718\n\n0.715\n\n1.471\n\n1.542\n\n1.75\n\n2.77\n\n2.25\n\n1.01\n\n1.129\n\n0.844\n\n2.149\n\n1.208\n\n0.7\n\n0.644\n\n0.563\n\n0.55\n\n0.575\n\n0.346\n\n0.691\n\n0.526\n\n0.978\n\n1.593\n\n1.125\n\n1.757\n\n4.058\n\n1.469\n\n2.0\n\n4.26\n\n4.871\n\n4.658\n\n4.528\n\n5.00001\n\n4.078\n\n4.699\n\n2.864\n\n2.9\n\n5.0\n\n1.5\n\n1.5\n\n1.469\n\n1.425\n\n3.25\n\n1.302\n\n3.048\n\n1.528\n\n2.261\n\n1.431\n\n0.795\n\n0.857\n\n1.557\n\n1.198\n\n1.248\n\n1.452\n\n2.083\n\n4.118\n\n2.935\n\n5.00001\n\n5.00001\n\n1.375\n\n4.613\n\n4.17\n\n5.00001\n\n3.883\n\n5.00001\n\n3.887\n\n3.48\n\n4.474\n\n3.782\n\n2.942\n\n5.00001\n\n2.5\n\n5.00001\n\n3.842\n\n2.985\n\n1.199\n\n3.089\n\n0.875\n\n3.505\n\n3.606\n\n3.4\n\n3.839\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.875\n\n2.708\n\n4.93\n\n5.00001\n\n4.421\n\n5.00001\n\n5.00001\n\n1.063\n\n5.00001\n\n3.125\n\n2.25\n\n4.147\n\n2.75\n\n1.575\n\n3.052\n\n1.542\n\n1.175\n\n1.774\n\n1.731\n\n1.59\n\n1.544\n\n1.639\n\n1.58\n\n5.00001\n\n4.318\n\n1.428\n\n1.625\n\n3.464\n\n5.00001\n\n5.00001\n\n0.467\n\n4.628\n\n1.458\n\n0.993\n\n0.936\n\n2.25\n\n2.766\n\n0.838\n\n1.365\n\n2.18\n\n1.427\n\n0.878\n\n1.025\n\n0.882\n\n1.0\n\n0.58\n\n0.893\n\n3.75\n\n2.571\n\n2.719\n\n2.335\n\n2.442\n\n1.875\n\n1.739\n\n0.938\n\n1.051\n\n1.207\n\n0.567\n\n1.875\n\n0.911\n\n1.229\n\n1.153\n\n3.455\n\n1.135\n\n1.557\n\n0.5\n\n1.464\n\n2.481\n\n0.55\n\n1.375\n\n0.5\n\n0.963\n\n0.689\n\n0.614\n\n0.475\n\n1.55\n\n0.761\n\n0.949\n\n0.444\n\n0.655\n\n0.45\n\n0.615\n\n1.151\n\n0.943\n\n1.406\n\n0.903\n\n1.375\n\n1.417\n\n1.239\n\n1.141\n\n2.0\n\n1.575\n\n1.567\n\n1.394\n\n0.856\n\n0.654\n\n0.958\n\n0.8\n\n1.375\n\n1.23\n\n2.287\n\n1.25\n\n0.654\n\n0.654\n\n1.375\n\n0.55\n\n4.464\n\n3.202\n\n0.663\n\n0.675\n\n1.17\n\n3.833\n\n1.33\n\n2.761\n\n2.125\n\n0.55\n\n2.376\n\n1.884\n\n4.269\n\n3.454\n\n3.905\n\n5.0\n\n1.375\n\n2.625\n\n0.703\n\n1.09\n\n0.713\n\n0.908\n\n0.875\n\n0.629\n\n0.635\n\n0.731\n\n2.239\n\n0.875\n\n1.644\n\n1.0\n\n1.313\n\n5.00001\n\n3.167\n\n3.026\n\n0.647\n\n0.826\n\n0.485\n\n0.481\n\n0.486\n\n0.868\n\n1.572\n\n1.175\n\n4.417\n\n4.085\n\n4.116\n\n5.00001\n\n3.542\n\n2.896\n\n2.0\n\n2.042\n\n2.636\n\n1.544\n\n1.688\n\n1.853\n\n1.634\n\n1.67\n\n3.314\n\n3.0\n\n0.964\n\n0.906\n\n1.403\n\n1.655\n\n1.577\n\n1.549\n\n1.589\n\n1.651\n\n0.842\n\n0.905\n\n0.865\n\n0.657\n\n0.901\n\n0.756\n\n0.789\n\n0.827\n\n0.875\n\n0.833\n\n1.113\n\n1.688\n\n2.409\n\n2.211\n\n1.031\n\n1.688\n\n1.563\n\n1.063\n\n1.0\n\n0.911\n\n0.813\n\n0.72\n\n0.788\n\n0.87\n\n0.894\n\n2.05\n\n1.625\n\n2.0\n\n2.25\n\n2.625\n\n1.958\n\n2.15\n\n4.667\n\n2.55\n\n1.625\n\n3.452\n\n2.442\n\n4.414\n\n2.482\n\n2.167\n\n2.667\n\n3.404\n\n3.5\n\n5.0\n\n1.375\n\n2.75\n\n1.938\n\n1.125\n\n5.00001\n\n4.457\n\n5.00001\n\n5.00001\n\n3.885\n\n1.0\n\n2.146\n\n2.402\n\n3.625\n\n0.875\n\n1.589\n\n0.675\n\n1.922\n\n1.438\n\n1.242\n\n0.922\n\n1.313\n\n0.735\n\n3.306\n\n3.318\n\n3.913\n\n1.467\n\n0.95\n\n0.675\n\n5.00001\n\n0.93\n\n0.833\n\n0.929\n\n0.903\n\n0.978\n\n1.458\n\n1.417\n\n1.313\n\n1.344\n\n2.452\n\n2.905\n\n2.817\n\n3.796\n\n1.211\n\n1.482\n\n3.282\n\n2.101\n\n1.676\n\n1.446\n\n5.00001\n\n3.279\n\n2.688\n\n3.198\n\n5.00001\n\n5.00001\n\n0.908\n\n2.589\n\n2.374\n\n3.403\n\n2.0\n\n1.866\n\n3.473\n\n4.441\n\n1.225\n\n1.729\n\n2.219\n\n0.837\n\n1.107\n\n2.931\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.5\n\n4.5\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.25\n\n5.00001\n\n2.2\n\n2.75\n\n2.5\n\n2.75\n\n1.875\n\n1.125\n\n2.25\n\n4.5\n\n2.25\n\n3.25\n\n1.813\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.125\n\n0.875\n\n0.546\n\n0.52\n\n0.54\n\n0.612\n\n0.731\n\n2.42\n\n1.267\n\n1.323\n\n0.875\n\n1.208\n\n1.125\n\n1.625\n\n2.028\n\n1.063\n\n2.151\n\n5.00001\n\n2.5\n\n2.375\n\n3.278\n\n2.563\n\n5.00001\n\n2.417\n\n2.375\n\n2.7\n\n2.336\n\n5.00001\n\n4.125\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.861\n\n3.0\n\n2.583\n\n2.375\n\n5.00001\n\n5.00001\n\n3.287\n\n1.292\n\n5.00001\n\n2.0\n\n1.75\n\n1.849\n\n1.125\n\n1.795\n\n5.00001\n\n5.00001\n\n1.875\n\n4.25\n\n4.41\n\n1.375\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.922\n\n1.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.75\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.667\n\n2.583\n\n1.214\n\n0.813\n\n0.689\n\n0.769\n\n0.726\n\n0.748\n\n0.875\n\n0.844\n\n0.582\n\n1.487\n\n0.901\n\n1.229\n\n0.665\n\n1.516\n\n0.988\n\n1.133\n\n1.465\n\n0.72\n\n0.773\n\n0.694\n\n0.938\n\n0.831\n\n0.566\n\n0.656\n\n1.054\n\n1.508\n\n1.168\n\n0.668\n\n0.481\n\n0.685\n\n0.59\n\n1.016\n\n0.745\n\n1.712\n\n0.732\n\n0.52\n\n0.656\n\n0.875\n\n0.774\n\n0.903\n\n0.578\n\n0.645\n\n0.903\n\n0.887\n\n0.625\n\n0.686\n\n0.554\n\n0.614\n\n0.701\n\n0.813\n\n0.942\n\n1.0\n\n0.609\n\n0.617\n\n0.462\n\n0.531\n\n0.815\n\n1.288\n\n0.655\n\n0.946\n\n1.094\n\n1.625\n\n1.25\n\n3.152\n\n0.75\n\n2.44\n\n2.553\n\n0.675\n\n1.406\n\n3.344\n\n2.012\n\n2.583\n\n2.333\n\n1.5\n\n1.325\n\n1.621\n\n1.369\n\n0.987\n\n1.488\n\n1.17\n\n1.393\n\n2.017\n\n1.333\n\n1.575\n\n1.229\n\n1.125\n\n3.648\n\n0.85\n\n1.5\n\n2.905\n\n1.173\n\n1.271\n\n0.906\n\n2.75\n\n0.694\n\n1.375\n\n1.648\n\n1.336\n\n0.615\n\n0.979\n\n0.675\n\n0.727\n\n0.813\n\n0.875\n\n1.288\n\n0.519\n\n0.541\n\n0.632\n\n0.647\n\n0.582\n\n0.931\n\n0.942\n\n0.888\n\n0.847\n\n0.737\n\n0.496\n\n0.615\n\n1.433\n\n0.43\n\n1.375\n\n0.638\n\n0.495\n\n2.175\n\n0.875\n\n1.046\n\n1.113\n\n1.362\n\n1.37\n\n3.75\n\n1.875\n\n2.75\n\n0.875\n\n5.00001\n\n5.00001\n\n4.108\n\n5.00001\n\n5.00001\n\n0.76\n\n2.25\n\n1.375\n\n0.55\n\n0.579\n\n1.0\n\n0.775\n\n0.72\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.561822291595673, "id": "", "name": "cube54_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube54_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:21.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:94.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e14.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e362\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.7\n\n3.357\n\n2.185\n\n1.181\n\n1.191\n\n3.714\n\n2.417\n\n2.167\n\n2.536\n\n1.438\n\n2.0\n\n4.125\n\n4.429\n\n3.373\n\n0.899\n\n0.889\n\n1.202\n\n0.745\n\n1.33\n\n1.306\n\n2.665\n\n4.694\n\n4.034\n\n3.246\n\n3.513\n\n5.00001\n\n5.00001\n\n4.854\n\n1.125\n\n1.989\n\n1.322\n\n0.466\n\n1.935\n\n0.692\n\n1.125\n\n0.647\n\n0.56\n\n0.552\n\n1.199\n\n0.768\n\n0.699\n\n0.625\n\n0.708\n\n0.843\n\n0.64\n\n0.701\n\n0.727\n\n0.468\n\n2.458\n\n1.703\n\n0.552\n\n0.622\n\n0.477\n\n0.759\n\n0.818\n\n0.859\n\n0.618\n\n1.458\n\n1.443\n\n1.426\n\n1.364\n\n1.386\n\n4.507\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.531\n\n3.333\n\n2.167\n\n0.938\n\n1.44\n\n2.875\n\n2.75\n\n2.25\n\n1.589\n\n2.125\n\n5.00001\n\n1.475\n\n1.273\n\n1.158\n\n1.229\n\n0.925\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.25\n\n4.285\n\n1.739\n\n1.488\n\n2.214\n\n1.213\n\n1.546\n\n1.404\n\n1.159\n\n1.183\n\n1.625\n\n1.475\n\n5.00001\n\n1.485\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.385\n\n1.541\n\n3.687\n\n2.713\n\n5.00001\n\n1.588\n\n1.761\n\n1.478\n\n0.863\n\n1.085\n\n1.77\n\n1.625\n\n2.971\n\n4.102\n\n4.137\n\n4.366\n\n2.849\n\n5.00001\n\n4.206\n\n3.14\n\n2.79\n\n3.547\n\n4.347\n\n4.541\n\n3.074\n\n5.00001\n\n1.821\n\n1.807\n\n1.821\n\n1.802\n\n1.656\n\n1.625\n\n1.774\n\n1.635\n\n1.584\n\n1.606\n\n1.799\n\n1.594\n\n1.403\n\n1.639\n\n1.597\n\n3.506\n\n2.375\n\n4.379\n\n5.00001\n\n3.674\n\n3.348\n\n2.398\n\n2.232\n\n1.265\n\n4.29\n\n0.944\n\n1.463\n\n0.731\n\n0.704\n\n1.125\n\n0.659\n\n1.994\n\n1.042\n\n1.28\n\n0.689\n\n0.822\n\n0.606\n\n0.847\n\n0.654\n\n0.586\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.544\n\n0.55\n\n1.907\n\n1.414\n\n1.788\n\n1.429\n\n1.466\n\n2.745\n\n2.631\n\n0.925\n\n1.444\n\n1.346\n\n1.462\n\n4.067\n\n2.452\n\n2.252\n\n1.405\n\n1.671\n\n0.817\n\n0.608\n\n0.696\n\n0.979\n\n1.128\n\n1.781\n\n2.816\n\n1.234\n\n1.414\n\n1.538\n\n1.794\n\n1.755\n\n0.831\n\n1.754\n\n0.815\n\n0.829\n\n3.25\n\n5.00001\n\n5.00001\n\n1.766\n\n2.415\n\n3.37\n\n4.676\n\n2.38\n\n1.75\n\n0.675\n\n0.675\n\n1.565\n\n1.521\n\n1.276\n\n1.411\n\n0.932\n\n1.25\n\n1.607\n\n1.226\n\n2.216\n\n3.164\n\n3.874\n\n3.623\n\n3.783\n\n4.399\n\n3.202\n\n3.003\n\n5.00001\n\n1.688\n\n4.583\n\n0.55\n\n5.00001\n\n2.375\n\n5.00001\n\n2.25\n\n5.00001\n\n5.00001\n\n4.184\n\n1.875\n\n4.0\n\n0.55\n\n3.75\n\n2.603\n\n1.781\n\n2.226\n\n3.134\n\n0.568\n\n0.594\n\n1.103\n\n0.99\n\n2.75\n\n2.515\n\n2.979\n\n3.222\n\n5.00001\n\n2.295\n\n4.359\n\n3.118\n\n2.181\n\n2.328\n\n1.606\n\n1.566\n\n5.00001\n\n0.985\n\n1.728\n\n2.128\n\n1.919\n\n1.152\n\n1.91\n\n1.649\n\n2.314\n\n3.553\n\n3.782\n\n3.595\n\n2.242\n\n2.356\n\n1.601\n\n1.636\n\n1.726\n\n1.736\n\n1.825\n\n2.739\n\n3.356\n\n4.228\n\n2.762\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.592\n\n4.183\n\n3.616\n\n3.942\n\n3.355\n\n1.908\n\n1.017\n\n0.582\n\n1.389\n\n1.031\n\n1.05\n\n0.942\n\n1.111\n\n0.648\n\n0.981\n\n0.852\n\n0.606\n\n1.416\n\n0.985\n\n0.995\n\n0.435\n\n0.44\n\n0.586\n\n0.557\n\n0.712\n\n0.575\n\n0.811\n\n0.761\n\n0.971\n\n1.101\n\n1.237\n\n1.711\n\n1.617\n\n0.875\n\n2.051\n\n2.14\n\n1.775\n\n3.813\n\n2.542\n\n1.354\n\n1.974\n\n1.428\n\n2.408\n\n1.459\n\n1.252\n\n0.922\n\n0.556\n\n0.912\n\n0.503\n\n0.506\n\n0.498\n\n1.493\n\n1.069\n\n1.75\n\n3.93\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5652885147135237, "id": "", "name": "cube55_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube55_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:86.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e290\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.7\n\n3.357\n\n2.185\n\n1.181\n\n3.714\n\n2.417\n\n2.536\n\n1.438\n\n2.0\n\n4.125\n\n4.429\n\n3.373\n\n3.365\n\n0.899\n\n0.889\n\n0.745\n\n1.33\n\n1.306\n\n4.694\n\n4.034\n\n3.246\n\n3.513\n\n5.00001\n\n4.854\n\n1.989\n\n1.322\n\n0.466\n\n1.935\n\n0.692\n\n1.125\n\n0.647\n\n0.552\n\n0.625\n\n0.843\n\n0.701\n\n0.727\n\n1.703\n\n0.552\n\n0.622\n\n0.818\n\n0.859\n\n0.618\n\n1.458\n\n1.443\n\n1.426\n\n1.364\n\n1.386\n\n4.507\n\n5.00001\n\n1.583\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.333\n\n0.938\n\n1.44\n\n2.75\n\n2.25\n\n1.589\n\n2.125\n\n2.875\n\n5.00001\n\n1.475\n\n1.273\n\n1.229\n\n0.925\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.739\n\n1.488\n\n2.214\n\n1.213\n\n1.546\n\n1.404\n\n1.159\n\n1.183\n\n1.625\n\n1.475\n\n5.00001\n\n1.485\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.541\n\n3.687\n\n2.713\n\n5.00001\n\n1.588\n\n1.761\n\n1.085\n\n1.77\n\n1.625\n\n4.102\n\n4.137\n\n4.366\n\n4.206\n\n3.547\n\n4.347\n\n4.541\n\n2.913\n\n1.821\n\n1.807\n\n1.821\n\n1.802\n\n1.585\n\n1.656\n\n1.625\n\n1.774\n\n1.635\n\n1.584\n\n1.606\n\n1.799\n\n1.594\n\n1.403\n\n1.597\n\n3.506\n\n2.375\n\n4.379\n\n3.674\n\n3.348\n\n2.398\n\n2.232\n\n1.265\n\n4.29\n\n0.944\n\n1.463\n\n1.125\n\n0.659\n\n1.994\n\n1.042\n\n1.28\n\n0.689\n\n0.822\n\n0.606\n\n0.654\n\n0.586\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.544\n\n0.55\n\n1.414\n\n1.788\n\n1.429\n\n1.466\n\n2.745\n\n2.631\n\n0.925\n\n1.444\n\n1.346\n\n4.067\n\n2.452\n\n2.252\n\n1.405\n\n1.671\n\n0.608\n\n0.696\n\n1.128\n\n1.781\n\n1.234\n\n1.414\n\n1.794\n\n1.755\n\n0.831\n\n1.754\n\n0.829\n\n3.25\n\n5.00001\n\n5.00001\n\n2.415\n\n3.37\n\n4.676\n\n2.38\n\n1.75\n\n0.675\n\n0.675\n\n1.521\n\n1.276\n\n1.411\n\n0.932\n\n1.25\n\n1.426\n\n1.226\n\n2.216\n\n1.345\n\n3.874\n\n3.202\n\n3.003\n\n5.00001\n\n1.688\n\n2.25\n\n5.00001\n\n5.00001\n\n4.184\n\n1.875\n\n4.0\n\n0.55\n\n2.603\n\n1.781\n\n3.134\n\n0.594\n\n1.103\n\n0.99\n\n1.379\n\n1.579\n\n2.75\n\n2.515\n\n2.979\n\n3.222\n\n2.295\n\n4.359\n\n2.181\n\n1.606\n\n1.566\n\n5.00001\n\n0.985\n\n1.728\n\n2.128\n\n1.919\n\n1.152\n\n1.91\n\n1.649\n\n2.314\n\n3.553\n\n3.782\n\n2.242\n\n1.601\n\n1.636\n\n1.726\n\n1.736\n\n1.825\n\n2.739\n\n3.356\n\n2.762\n\n5.00001\n\n4.592\n\n4.183\n\n3.616\n\n3.942\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n1.05\n\n0.942\n\n1.111\n\n0.648\n\n0.981\n\n0.852\n\n0.606\n\n0.985\n\n0.995\n\n0.44\n\n0.557\n\n0.575\n\n0.811\n\n0.971\n\n1.101\n\n1.237\n\n1.711\n\n1.617\n\n0.875\n\n2.051\n\n2.14\n\n1.775\n\n3.813\n\n2.542\n\n1.354\n\n1.974\n\n1.428\n\n2.408\n\n1.459\n\n1.252\n\n0.922\n\n0.503\n\n0.506\n\n0.498\n\n1.493\n\n1.069\n\n1.75\n\n3.93\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5156170167083258, "id": "", "name": "cube55_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube55_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:66.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e255\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n1.821\n\n1.349\n\n2.534\n\n2.848\n\n3.898\n\n3.529\n\n3.137\n\n1.126\n\n0.873\n\n1.426\n\n0.988\n\n1.891\n\n1.565\n\n1.688\n\n2.042\n\n2.347\n\n3.677\n\n3.692\n\n3.567\n\n3.822\n\n1.742\n\n0.467\n\n0.618\n\n0.506\n\n0.647\n\n0.694\n\n1.437\n\n1.408\n\n0.446\n\n1.034\n\n0.809\n\n0.598\n\n1.629\n\n1.158\n\n1.24\n\n1.694\n\n1.83\n\n1.772\n\n1.813\n\n2.139\n\n2.713\n\n5.00001\n\n5.00001\n\n1.629\n\n2.25\n\n1.875\n\n3.5\n\n2.188\n\n0.875\n\n1.375\n\n1.125\n\n1.1\n\n1.625\n\n3.0\n\n1.875\n\n2.7\n\n1.875\n\n2.5\n\n5.00001\n\n3.5\n\n5.00001\n\n2.476\n\n5.00001\n\n1.162\n\n1.233\n\n4.025\n\n1.597\n\n1.576\n\n1.362\n\n1.272\n\n1.578\n\n1.514\n\n1.738\n\n5.00001\n\n1.506\n\n1.642\n\n1.465\n\n1.676\n\n1.482\n\n1.509\n\n1.319\n\n1.174\n\n1.183\n\n1.402\n\n1.462\n\n1.475\n\n1.607\n\n2.864\n\n5.00001\n\n2.283\n\n4.72\n\n5.00001\n\n1.151\n\n1.411\n\n2.044\n\n1.676\n\n1.429\n\n1.513\n\n3.112\n\n0.849\n\n2.879\n\n2.763\n\n2.856\n\n2.098\n\n1.188\n\n3.14\n\n4.143\n\n5.00001\n\n1.096\n\n0.798\n\n1.276\n\n2.017\n\n1.005\n\n3.653\n\n2.832\n\n3.092\n\n2.374\n\n2.399\n\n1.625\n\n1.944\n\n1.978\n\n1.485\n\n1.833\n\n3.74\n\n2.223\n\n2.878\n\n2.296\n\n1.479\n\n0.859\n\n2.034\n\n1.591\n\n2.165\n\n1.633\n\n1.555\n\n1.246\n\n1.215\n\n1.137\n\n1.687\n\n1.326\n\n1.742\n\n0.77\n\n1.131\n\n0.953\n\n0.744\n\n0.666\n\n1.59\n\n1.452\n\n1.425\n\n1.213\n\n0.769\n\n0.68\n\n0.824\n\n0.904\n\n1.16\n\n1.293\n\n0.966\n\n0.933\n\n1.896\n\n1.125\n\n1.034\n\n2.317\n\n1.614\n\n0.911\n\n1.258\n\n1.332\n\n0.78\n\n0.883\n\n1.402\n\n0.925\n\n0.668\n\n1.668\n\n1.891\n\n0.883\n\n1.444\n\n1.843\n\n2.409\n\n1.098\n\n2.5\n\n1.661\n\n1.943\n\n2.415\n\n2.637\n\n2.962\n\n4.113\n\n2.813\n\n2.621\n\n1.738\n\n1.507\n\n2.375\n\n1.599\n\n1.175\n\n1.299\n\n0.985\n\n1.435\n\n1.595\n\n1.996\n\n3.53\n\n2.21\n\n1.667\n\n2.5\n\n2.034\n\n1.819\n\n2.128\n\n1.46\n\n1.123\n\n1.0\n\n1.707\n\n1.948\n\n2.773\n\n2.506\n\n2.67\n\n3.043\n\n2.62\n\n2.362\n\n2.724\n\n3.445\n\n2.653\n\n1.89\n\n3.543\n\n2.531\n\n1.601\n\n1.838\n\n2.766\n\n2.574\n\n2.641\n\n2.798\n\n2.801\n\n3.445\n\n2.603\n\n1.601\n\n2.148\n\n1.316\n\n1.441\n\n2.1\n\n1.871\n\n1.266\n\n1.81\n\n1.583\n\n1.919\n\n2.023\n\n1.841\n\n2.203\n\n1.91\n\n1.519\n\n1.955\n\n0.958\n\n1.271\n\n1.791\n\n1.92\n\n2.842\n\n0.691\n\n2.043\n\n1.826\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5323197488878965, "id": "", "name": "cube56_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube56_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e16.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:58.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e148\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n1.349\n\n2.534\n\n2.848\n\n3.529\n\n3.137\n\n1.126\n\n1.426\n\n0.988\n\n1.565\n\n2.042\n\n2.347\n\n3.692\n\n3.822\n\n0.618\n\n0.647\n\n0.694\n\n1.437\n\n1.408\n\n0.446\n\n1.034\n\n0.809\n\n1.158\n\n1.694\n\n1.83\n\n2.139\n\n2.713\n\n1.629\n\n1.875\n\n3.5\n\n1.875\n\n1.875\n\n2.5\n\n5.00001\n\n1.162\n\n4.025\n\n1.597\n\n5.00001\n\n1.642\n\n1.509\n\n1.319\n\n1.174\n\n1.462\n\n2.864\n\n5.00001\n\n2.283\n\n4.72\n\n5.00001\n\n1.151\n\n1.411\n\n2.044\n\n1.676\n\n1.429\n\n1.513\n\n3.112\n\n2.856\n\n2.098\n\n1.188\n\n0.798\n\n1.005\n\n2.832\n\n3.092\n\n2.374\n\n2.399\n\n1.625\n\n1.944\n\n1.479\n\n2.034\n\n1.591\n\n2.165\n\n1.633\n\n1.215\n\n1.137\n\n1.326\n\n0.953\n\n0.744\n\n0.666\n\n0.68\n\n0.824\n\n0.904\n\n1.16\n\n0.966\n\n0.933\n\n1.896\n\n1.125\n\n1.034\n\n2.317\n\n1.614\n\n1.258\n\n1.332\n\n0.883\n\n0.925\n\n0.668\n\n1.891\n\n0.883\n\n1.444\n\n1.843\n\n2.409\n\n1.098\n\n2.5\n\n1.661\n\n1.943\n\n2.637\n\n2.962\n\n4.113\n\n2.813\n\n2.621\n\n1.738\n\n1.175\n\n0.985\n\n1.435\n\n1.595\n\n1.996\n\n2.21\n\n1.667\n\n2.5\n\n2.034\n\n1.707\n\n2.773\n\n2.506\n\n2.67\n\n2.62\n\n2.362\n\n2.724\n\n3.445\n\n2.653\n\n1.89\n\n3.543\n\n2.766\n\n2.574\n\n2.798\n\n3.445\n\n2.603\n\n2.148\n\n1.316\n\n1.441\n\n2.1\n\n1.266\n\n1.919\n\n2.203\n\n1.519\n\n1.955\n\n0.958\n\n1.271\n\n1.791\n\n1.92\n\n2.842\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5581916794558436, "id": "", "name": "cube56_cluster1", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube56_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e3.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e19.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e83\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.924\n\n2.45\n\n3.567\n\n0.872\n\n1.063\n\n0.882\n\n0.546\n\n1.549\n\n1.365\n\n1.454\n\n2.275\n\n2.596\n\n3.4\n\n1.775\n\n3.0\n\n2.832\n\n1.362\n\n3.304\n\n1.826\n\n1.668\n\n3.547\n\n3.613\n\n5.00001\n\n1.2\n\n1.469\n\n1.679\n\n1.455\n\n2.377\n\n2.763\n\n2.953\n\n1.875\n\n1.622\n\n1.983\n\n1.444\n\n1.38\n\n1.581\n\n1.499\n\n1.42\n\n1.387\n\n1.376\n\n1.246\n\n1.366\n\n1.83\n\n0.978\n\n1.079\n\n1.03\n\n1.293\n\n1.297\n\n1.212\n\n1.245\n\n1.327\n\n1.878\n\n1.577\n\n3.115\n\n2.456\n\n1.419\n\n1.41\n\n1.038\n\n1.192\n\n0.956\n\n1.932\n\n1.219\n\n1.504\n\n1.687\n\n1.5\n\n3.53\n\n1.194\n\n1.681\n\n3.258\n\n4.912\n\n2.645\n\n2.674\n\n2.611\n\n1.795\n\n1.621\n\n1.278\n\n3.018\n\n2.068\n\n2.239\n\n2.043\n\n2.018\n\n2.194\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.40784921750084796, "id": "", "name": "cube57_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube57_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e40.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e20.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.818\n\n2.389\n\n2.262\n\n1.326\n\n2.018\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5329175693728241, "id": "", "name": "cube57_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube57_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e22.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e35\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.45\n\n0.872\n\n1.365\n\n1.454\n\n2.275\n\n2.596\n\n1.775\n\n3.304\n\n1.826\n\n1.668\n\n3.547\n\n3.613\n\n5.00001\n\n2.377\n\n1.444\n\n1.38\n\n1.42\n\n1.387\n\n1.366\n\n1.03\n\n1.297\n\n1.327\n\n1.878\n\n1.577\n\n2.456\n\n1.038\n\n0.956\n\n1.932\n\n1.219\n\n1.5\n\n2.645\n\n2.674\n\n1.795\n\n3.018\n\n1.325\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.30510199137555116, "id": "", "name": "cube58_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube58_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.262\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5458597800281022, "id": "", "name": "cube58_cluster0", "size": 2, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube58_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e50.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.953\n\n1.326\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5320836932689209, "id": "", "name": "cube59_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube59_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:37.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e5.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:24.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e3.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:75.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1882\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5386945634972012, "id": "", "name": "cube59_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube59_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:42.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:74.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e854\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.585\n\n0.975\n\n1.838\n\n1.7\n\n2.578\n\n3.357\n\n2.55\n\n2.185\n\n2.341\n\n1.079\n\n1.117\n\n1.023\n\n1.191\n\n0.824\n\n3.5\n\n2.875\n\n2.417\n\n2.167\n\n4.125\n\n2.027\n\n1.625\n\n1.598\n\n2.344\n\n2.365\n\n1.514\n\n2.318\n\n1.625\n\n4.429\n\n3.373\n\n2.994\n\n1.393\n\n3.275\n\n1.073\n\n0.899\n\n0.889\n\n1.202\n\n0.745\n\n1.226\n\n1.163\n\n0.813\n\n0.663\n\n1.597\n\n1.077\n\n1.423\n\n0.451\n\n0.538\n\n1.306\n\n1.863\n\n2.051\n\n0.877\n\n2.941\n\n1.861\n\n1.82\n\n1.793\n\n2.674\n\n2.328\n\n3.562\n\n4.694\n\n3.246\n\n3.593\n\n3.982\n\n3.513\n\n4.553\n\n3.944\n\n4.541\n\n3.997\n\n4.854\n\n3.07\n\n3.107\n\n2.377\n\n0.797\n\n1.975\n\n1.725\n\n1.989\n\n2.306\n\n1.402\n\n1.322\n\n0.477\n\n0.5\n\n0.498\n\n2.25\n\n0.895\n\n0.466\n\n0.455\n\n0.491\n\n0.483\n\n0.508\n\n0.759\n\n0.619\n\n1.935\n\n0.517\n\n1.45\n\n1.742\n\n1.567\n\n0.52\n\n0.647\n\n0.56\n\n0.552\n\n0.637\n\n0.675\n\n0.656\n\n0.587\n\n0.622\n\n0.603\n\n0.762\n\n0.708\n\n0.843\n\n0.912\n\n0.755\n\n1.182\n\n0.586\n\n0.552\n\n0.573\n\n0.521\n\n0.622\n\n0.55\n\n0.759\n\n0.818\n\n0.973\n\n0.859\n\n1.057\n\n0.618\n\n0.91\n\n1.458\n\n1.467\n\n1.443\n\n1.568\n\n1.409\n\n1.472\n\n1.481\n\n1.364\n\n1.386\n\n1.585\n\n4.318\n\n3.74\n\n4.507\n\n3.412\n\n3.528\n\n4.199\n\n5.00001\n\n4.835\n\n2.753\n\n2.059\n\n1.542\n\n3.9\n\n5.00001\n\n1.979\n\n4.107\n\n5.00001\n\n2.375\n\n5.00001\n\n2.5\n\n2.375\n\n2.047\n\n5.00001\n\n5.00001\n\n1.6\n\n1.708\n\n2.192\n\n1.667\n\n1.53\n\n1.425\n\n1.472\n\n1.516\n\n1.156\n\n1.448\n\n1.307\n\n1.859\n\n1.75\n\n2.25\n\n1.589\n\n1.625\n\n2.125\n\n1.417\n\n3.5\n\n1.375\n\n3.289\n\n1.577\n\n2.25\n\n5.00001\n\n1.525\n\n1.237\n\n1.8\n\n1.219\n\n1.25\n\n2.75\n\n1.475\n\n1.273\n\n1.24\n\n1.365\n\n0.962\n\n1.148\n\n1.143\n\n1.008\n\n0.992\n\n1.008\n\n1.158\n\n0.996\n\n1.161\n\n1.133\n\n1.013\n\n0.882\n\n0.985\n\n1.25\n\n1.229\n\n0.925\n\n0.875\n\n1.0\n\n5.00001\n\n5.00001\n\n5.00001\n\n2.15\n\n1.28\n\n1.631\n\n4.514\n\n1.219\n\n1.163\n\n1.107\n\n1.241\n\n1.607\n\n1.569\n\n1.311\n\n5.00001\n\n5.00001\n\n1.844\n\n1.542\n\n1.745\n\n1.42\n\n1.739\n\n1.658\n\n5.00001\n\n1.625\n\n1.5\n\n2.214\n\n1.45\n\n1.317\n\n1.213\n\n1.322\n\n1.375\n\n1.543\n\n1.432\n\n1.863\n\n1.75\n\n0.929\n\n0.972\n\n1.219\n\n1.089\n\n1.546\n\n1.585\n\n1.76\n\n1.56\n\n1.911\n\n1.609\n\n1.875\n\n1.717\n\n1.693\n\n1.118\n\n1.099\n\n1.3\n\n0.893\n\n1.0\n\n1.032\n\n1.281\n\n1.032\n\n0.951\n\n1.203\n\n1.234\n\n1.142\n\n1.404\n\n1.201\n\n1.368\n\n1.306\n\n1.397\n\n1.159\n\n1.183\n\n3.1\n\n1.485\n\n1.422\n\n1.857\n\n3.364\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n1.385\n\n1.55\n\n3.921\n\n3.687\n\n2.932\n\n3.242\n\n4.392\n\n2.896\n\n2.713\n\n4.705\n\n4.176\n\n3.461\n\n5.00001\n\n1.407\n\n1.044\n\n1.246\n\n0.84\n\n1.429\n\n1.493\n\n1.405\n\n1.761\n\n1.311\n\n0.714\n\n0.873\n\n0.885\n\n0.627\n\n0.571\n\n1.478\n\n0.863\n\n1.085\n\n1.305\n\n1.192\n\n1.304\n\n1.369\n\n1.77\n\n1.298\n\n1.341\n\n1.027\n\n1.0\n\n3.988\n\n2.589\n\n1.625\n\n2.971\n\n4.102\n\n3.531\n\n3.039\n\n2.887\n\n4.366\n\n2.166\n\n2.849\n\n3.873\n\n3.413\n\n4.206\n\n3.14\n\n3.3\n\n3.547\n\n4.541\n\n3.551\n\n3.449\n\n2.257\n\n3.58\n\n3.757\n\n3.134\n\n2.556\n\n4.504\n\n5.00001\n\n3.454\n\n5.00001\n\n1.813\n\n1.528\n\n1.849\n\n1.821\n\n1.552\n\n1.835\n\n1.775\n\n1.7\n\n1.577\n\n1.74\n\n1.506\n\n1.591\n\n1.714\n\n1.821\n\n1.725\n\n1.656\n\n1.591\n\n1.625\n\n1.705\n\n1.584\n\n1.606\n\n1.595\n\n1.799\n\n1.785\n\n1.518\n\n1.594\n\n1.403\n\n1.589\n\n1.025\n\n1.768\n\n1.63\n\n1.701\n\n3.495\n\n1.639\n\n1.708\n\n1.524\n\n3.5\n\n1.678\n\n1.597\n\n3.195\n\n3.905\n\n3.506\n\n2.375\n\n4.379\n\n1.375\n\n3.674\n\n1.468\n\n2.644\n\n3.348\n\n1.987\n\n2.014\n\n0.978\n\n2.398\n\n0.979\n\n1.101\n\n0.986\n\n1.265\n\n0.815\n\n1.509\n\n0.959\n\n0.694\n\n0.944\n\n1.089\n\n1.463\n\n0.731\n\n0.611\n\n1.125\n\n0.659\n\n1.241\n\n1.994\n\n1.252\n\n1.042\n\n0.991\n\n0.83\n\n1.28\n\n1.523\n\n0.918\n\n0.98\n\n1.026\n\n0.934\n\n0.694\n\n0.689\n\n0.822\n\n0.847\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n1.25\n\n0.841\n\n1.231\n\n0.878\n\n0.783\n\n0.525\n\n0.703\n\n0.788\n\n0.673\n\n0.668\n\n0.697\n\n1.098\n\n0.931\n\n0.55\n\n1.795\n\n1.907\n\n0.896\n\n1.042\n\n1.145\n\n1.414\n\n1.705\n\n1.1\n\n0.676\n\n0.631\n\n0.609\n\n0.919\n\n1.07\n\n1.166\n\n2.323\n\n1.429\n\n0.825\n\n1.627\n\n1.466\n\n2.432\n\n2.631\n\n1.275\n\n0.925\n\n1.38\n\n1.444\n\n1.504\n\n1.481\n\n1.346\n\n1.462\n\n1.924\n\n2.254\n\n2.863\n\n4.067\n\n1.025\n\n1.951\n\n2.023\n\n2.252\n\n1.055\n\n0.92\n\n1.405\n\n0.635\n\n0.708\n\n0.878\n\n0.93\n\n1.102\n\n1.431\n\n1.172\n\n2.696\n\n1.035\n\n1.309\n\n1.265\n\n0.695\n\n1.671\n\n0.596\n\n1.031\n\n0.817\n\n0.608\n\n0.696\n\n0.65\n\n0.733\n\n0.724\n\n0.978\n\n1.861\n\n1.128\n\n0.777\n\n0.785\n\n1.991\n\n1.781\n\n1.35\n\n2.816\n\n0.913\n\n0.992\n\n0.924\n\n0.898\n\n1.188\n\n1.855\n\n0.896\n\n1.234\n\n1.43\n\n1.35\n\n1.25\n\n1.538\n\n1.35\n\n1.794\n\n1.755\n\n1.063\n\n0.869\n\n0.833\n\n0.864\n\n0.863\n\n1.375\n\n1.754\n\n1.604\n\n0.829\n\n3.25\n\n0.875\n\n1.598\n\n2.083\n\n4.74\n\n5.00001\n\n1.766\n\n2.67\n\n1.146\n\n2.495\n\n2.415\n\n1.463\n\n1.684\n\n1.569\n\n2.882\n\n2.43\n\n2.717\n\n1.488\n\n1.521\n\n1.327\n\n1.38\n\n0.932\n\n1.404\n\n1.53\n\n1.607\n\n1.091\n\n1.076\n\n1.226\n\n1.519\n\n1.523\n\n2.216\n\n2.662\n\n1.501\n\n1.414\n\n1.192\n\n1.32\n\n1.182\n\n1.713\n\n3.164\n\n1.208\n\n1.083\n\n1.5\n\n1.966\n\n2.685\n\n2.786\n\n2.222\n\n3.623\n\n2.941\n\n2.387\n\n2.181\n\n2.383\n\n3.442\n\n1.881\n\n1.856\n\n2.161\n\n1.171\n\n1.514\n\n2.05\n\n1.775\n\n1.272\n\n2.478\n\n2.145\n\n2.104\n\n2.796\n\n2.852\n\n1.748\n\n2.64\n\n2.875\n\n3.202\n\n3.356\n\n1.992\n\n1.582\n\n1.899\n\n1.165\n\n1.271\n\n2.746\n\n5.00001\n\n5.00001\n\n1.688\n\n4.5\n\n3.8\n\n4.5\n\n4.583\n\n2.875\n\n2.25\n\n4.0\n\n2.75\n\n2.25\n\n0.55\n\n5.00001\n\n2.375\n\n5.00001\n\n1.875\n\n1.15\n\n4.429\n\n3.545\n\n4.0\n\n2.25\n\n3.25\n\n2.5\n\n3.861\n\n3.162\n\n4.273\n\n2.7\n\n3.912\n\n2.667\n\n2.65\n\n2.125\n\n2.5\n\n2.433\n\n2.65\n\n2.361\n\n2.254\n\n1.404\n\n2.464\n\n2.518\n\n2.515\n\n3.351\n\n0.525\n\n0.613\n\n0.638\n\n0.594\n\n0.813\n\n1.136\n\n0.483\n\n0.53\n\n0.739\n\n1.103\n\n0.946\n\n1.591\n\n0.787\n\n1.176\n\n0.973\n\n0.941\n\n1.113\n\n0.99\n\n1.301\n\n1.582\n\n2.836\n\n5.00001\n\n2.75\n\n1.464\n\n2.386\n\n3.07\n\n2.664\n\n2.708\n\n3.197\n\n2.979\n\n5.00001\n\n3.45\n\n2.379\n\n5.00001\n\n3.058\n\n3.222\n\n3.748\n\n4.313\n\n4.359\n\n3.118\n\n2.11\n\n4.433\n\n3.436\n\n1.606\n\n1.566\n\n3.943\n\n5.00001\n\n5.00001\n\n2.265\n\n2.127\n\n1.373\n\n1.137\n\n1.176\n\n0.985\n\n0.861\n\n1.837\n\n2.136\n\n2.342\n\n3.97\n\n1.776\n\n1.734\n\n1.763\n\n2.128\n\n1.919\n\n2.17\n\n1.152\n\n1.91\n\n1.775\n\n2.314\n\n3.553\n\n3.484\n\n2.242\n\n2.419\n\n2.862\n\n2.356\n\n2.32\n\n2.419\n\n1.636\n\n1.726\n\n1.64\n\n1.401\n\n2.468\n\n2.739\n\n2.714\n\n2.727\n\n2.994\n\n2.762\n\n5.00001\n\n5.00001\n\n3.277\n\n4.25\n\n3.612\n\n3.627\n\n4.183\n\n3.614\n\n2.993\n\n2.915\n\n2.607\n\n4.163\n\n2.881\n\n2.985\n\n1.78\n\n1.62\n\n2.023\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n0.787\n\n0.648\n\n0.865\n\n0.981\n\n0.816\n\n1.184\n\n0.758\n\n1.416\n\n0.604\n\n0.598\n\n0.977\n\n0.985\n\n0.765\n\n0.613\n\n0.948\n\n1.333\n\n0.979\n\n1.118\n\n1.2\n\n1.237\n\n1.613\n\n1.95\n\n1.713\n\n1.617\n\n1.397\n\n2.132\n\n2.505\n\n2.14\n\n2.271\n\n1.681\n\n2.598\n\n3.309\n\n2.542\n\n2.483\n\n1.354\n\n1.974\n\n1.856\n\n1.438\n\n2.408\n\n1.951\n\n1.832\n\n2.878\n\n2.28\n\n1.719\n\n0.927\n\n1.481\n\n0.839\n\n0.699\n\n1.19\n\n1.459\n\n0.764\n\n1.275\n\n0.641\n\n0.922\n\n0.556\n\n0.889\n\n0.649\n\n0.516\n\n0.583\n\n0.503\n\n0.541\n\n0.498\n\n0.533\n\n1.734\n\n1.625\n\n1.493\n\n1.805\n\n1.461\n\n1.75\n\n4.521\n\n3.027\n\n3.439\n\n2.765\n\n0.743\n\n0.823\n\n1.791\n\n0.596\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5472372706601346, "id": "", "name": "cube60_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube60_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:45.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:98.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e15.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e10.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e686\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n3.585\n\n0.975\n\n1.838\n\n1.7\n\n2.578\n\n3.357\n\n2.55\n\n2.185\n\n2.341\n\n1.117\n\n1.023\n\n0.824\n\n3.5\n\n2.875\n\n2.417\n\n4.125\n\n2.027\n\n1.625\n\n1.598\n\n2.344\n\n2.365\n\n1.514\n\n2.318\n\n4.429\n\n3.373\n\n2.994\n\n1.393\n\n3.275\n\n1.073\n\n0.899\n\n0.889\n\n0.745\n\n1.163\n\n0.813\n\n0.663\n\n1.597\n\n1.423\n\n0.451\n\n0.538\n\n1.306\n\n1.863\n\n2.051\n\n0.877\n\n2.941\n\n1.861\n\n1.82\n\n1.793\n\n2.674\n\n2.328\n\n3.562\n\n4.694\n\n3.593\n\n3.982\n\n4.553\n\n3.944\n\n4.541\n\n4.854\n\n3.107\n\n1.975\n\n1.725\n\n1.989\n\n2.306\n\n1.402\n\n1.322\n\n0.5\n\n0.466\n\n0.491\n\n0.508\n\n0.759\n\n0.619\n\n1.935\n\n1.45\n\n1.742\n\n1.567\n\n0.647\n\n0.552\n\n0.675\n\n0.656\n\n0.587\n\n0.622\n\n0.843\n\n0.912\n\n0.552\n\n0.573\n\n0.622\n\n0.55\n\n0.818\n\n0.973\n\n0.859\n\n1.057\n\n0.618\n\n1.458\n\n1.467\n\n1.443\n\n1.409\n\n1.472\n\n1.481\n\n1.364\n\n1.386\n\n1.585\n\n4.318\n\n3.74\n\n4.507\n\n3.412\n\n3.528\n\n4.199\n\n4.835\n\n2.753\n\n2.059\n\n1.542\n\n3.9\n\n5.00001\n\n1.979\n\n4.107\n\n2.375\n\n5.00001\n\n2.5\n\n2.047\n\n5.00001\n\n5.00001\n\n1.6\n\n2.192\n\n1.667\n\n1.53\n\n1.425\n\n1.472\n\n1.516\n\n1.307\n\n1.859\n\n1.75\n\n2.25\n\n1.589\n\n1.625\n\n2.125\n\n1.417\n\n3.5\n\n1.375\n\n3.289\n\n1.577\n\n5.00001\n\n1.525\n\n1.237\n\n1.8\n\n1.219\n\n2.75\n\n1.475\n\n1.273\n\n1.365\n\n0.962\n\n1.143\n\n1.008\n\n0.992\n\n1.008\n\n0.996\n\n1.161\n\n1.133\n\n0.882\n\n0.985\n\n1.25\n\n1.229\n\n0.925\n\n0.875\n\n1.0\n\n5.00001\n\n5.00001\n\n1.28\n\n1.631\n\n4.514\n\n1.219\n\n1.107\n\n1.241\n\n1.607\n\n1.569\n\n1.311\n\n5.00001\n\n1.844\n\n1.542\n\n1.745\n\n1.739\n\n1.658\n\n5.00001\n\n1.625\n\n1.5\n\n2.214\n\n1.213\n\n1.375\n\n1.543\n\n1.432\n\n1.75\n\n0.929\n\n1.219\n\n1.546\n\n1.76\n\n1.56\n\n1.911\n\n1.609\n\n1.875\n\n1.717\n\n1.693\n\n1.099\n\n1.3\n\n0.893\n\n1.0\n\n1.032\n\n1.032\n\n0.951\n\n1.404\n\n1.201\n\n1.368\n\n1.306\n\n1.397\n\n1.159\n\n1.183\n\n3.1\n\n1.485\n\n1.422\n\n1.857\n\n3.364\n\n5.00001\n\n5.00001\n\n5.00001\n\n5.00001\n\n3.687\n\n2.932\n\n3.242\n\n4.392\n\n2.896\n\n2.713\n\n5.00001\n\n1.407\n\n1.044\n\n1.246\n\n1.429\n\n1.405\n\n1.761\n\n1.311\n\n0.714\n\n0.873\n\n0.885\n\n0.627\n\n0.571\n\n1.305\n\n1.192\n\n1.304\n\n1.369\n\n1.77\n\n1.298\n\n1.341\n\n1.027\n\n1.0\n\n3.988\n\n2.589\n\n1.625\n\n4.102\n\n3.531\n\n4.366\n\n3.873\n\n3.413\n\n4.206\n\n3.3\n\n3.547\n\n4.541\n\n3.551\n\n3.449\n\n2.257\n\n3.58\n\n3.757\n\n3.134\n\n2.556\n\n5.00001\n\n3.454\n\n1.813\n\n1.528\n\n1.849\n\n1.821\n\n1.835\n\n1.775\n\n1.74\n\n1.506\n\n1.591\n\n1.714\n\n1.725\n\n1.591\n\n1.625\n\n1.705\n\n1.584\n\n1.606\n\n1.799\n\n1.785\n\n1.518\n\n1.594\n\n1.403\n\n1.589\n\n1.025\n\n1.63\n\n1.701\n\n3.495\n\n1.708\n\n3.5\n\n1.678\n\n1.597\n\n3.195\n\n3.905\n\n3.506\n\n2.375\n\n4.379\n\n1.375\n\n3.674\n\n2.644\n\n3.348\n\n1.987\n\n2.014\n\n0.978\n\n2.398\n\n0.979\n\n1.265\n\n0.815\n\n1.509\n\n0.959\n\n0.694\n\n0.944\n\n1.089\n\n1.463\n\n0.611\n\n1.125\n\n0.659\n\n1.241\n\n1.994\n\n1.252\n\n1.042\n\n0.991\n\n0.83\n\n1.28\n\n1.523\n\n0.918\n\n0.98\n\n0.934\n\n0.694\n\n0.689\n\n0.822\n\n0.675\n\n0.667\n\n0.584\n\n0.865\n\n0.841\n\n0.878\n\n0.783\n\n0.525\n\n0.703\n\n0.788\n\n0.673\n\n0.668\n\n0.697\n\n1.098\n\n0.931\n\n0.55\n\n1.795\n\n0.896\n\n1.042\n\n1.145\n\n1.414\n\n1.705\n\n1.1\n\n0.676\n\n0.609\n\n0.919\n\n1.07\n\n2.323\n\n1.429\n\n0.825\n\n1.627\n\n2.432\n\n2.631\n\n1.275\n\n0.925\n\n1.38\n\n1.444\n\n1.504\n\n1.481\n\n1.346\n\n1.924\n\n2.254\n\n2.863\n\n4.067\n\n1.025\n\n1.951\n\n2.023\n\n2.252\n\n1.055\n\n0.92\n\n0.878\n\n1.102\n\n1.431\n\n1.172\n\n2.696\n\n1.035\n\n1.309\n\n1.265\n\n1.671\n\n0.596\n\n1.031\n\n0.608\n\n0.696\n\n0.65\n\n0.733\n\n0.724\n\n0.978\n\n1.861\n\n1.128\n\n0.785\n\n1.991\n\n1.781\n\n1.35\n\n0.913\n\n0.992\n\n0.924\n\n1.855\n\n0.896\n\n1.234\n\n1.43\n\n1.35\n\n1.25\n\n1.35\n\n1.794\n\n1.755\n\n1.063\n\n0.869\n\n0.833\n\n0.863\n\n1.375\n\n1.754\n\n1.604\n\n0.829\n\n3.25\n\n0.875\n\n1.598\n\n2.083\n\n4.74\n\n5.00001\n\n2.67\n\n1.146\n\n2.495\n\n2.415\n\n1.463\n\n1.569\n\n2.882\n\n2.43\n\n2.717\n\n1.488\n\n1.521\n\n1.38\n\n0.932\n\n1.404\n\n1.53\n\n1.091\n\n1.076\n\n1.226\n\n1.523\n\n2.662\n\n1.501\n\n1.192\n\n1.32\n\n1.182\n\n1.713\n\n1.208\n\n1.083\n\n1.5\n\n2.685\n\n2.786\n\n2.941\n\n2.387\n\n2.181\n\n3.442\n\n1.881\n\n1.856\n\n2.161\n\n1.171\n\n1.514\n\n2.05\n\n1.775\n\n1.272\n\n2.478\n\n2.145\n\n2.104\n\n2.796\n\n2.852\n\n1.748\n\n2.64\n\n2.875\n\n3.202\n\n3.356\n\n1.992\n\n1.582\n\n1.899\n\n1.165\n\n5.00001\n\n5.00001\n\n1.688\n\n3.8\n\n4.5\n\n2.875\n\n2.25\n\n4.0\n\n2.75\n\n2.25\n\n5.00001\n\n1.875\n\n4.429\n\n3.545\n\n4.0\n\n2.25\n\n3.25\n\n2.5\n\n3.861\n\n3.162\n\n2.7\n\n3.912\n\n2.667\n\n2.125\n\n2.5\n\n2.65\n\n2.361\n\n2.254\n\n1.404\n\n2.464\n\n2.518\n\n2.515\n\n3.351\n\n0.613\n\n0.638\n\n0.594\n\n0.813\n\n1.136\n\n0.483\n\n0.53\n\n0.739\n\n1.103\n\n0.946\n\n1.591\n\n1.176\n\n0.973\n\n0.941\n\n0.99\n\n1.301\n\n1.582\n\n2.836\n\n5.00001\n\n2.75\n\n1.464\n\n2.386\n\n3.07\n\n2.664\n\n2.708\n\n3.197\n\n5.00001\n\n3.45\n\n2.379\n\n5.00001\n\n3.058\n\n3.222\n\n3.748\n\n4.313\n\n4.359\n\n2.11\n\n4.433\n\n3.436\n\n1.606\n\n1.566\n\n3.943\n\n5.00001\n\n2.127\n\n1.373\n\n1.176\n\n0.985\n\n0.861\n\n2.136\n\n2.342\n\n3.97\n\n1.776\n\n1.734\n\n1.763\n\n2.128\n\n1.919\n\n2.17\n\n1.152\n\n1.91\n\n1.775\n\n2.314\n\n3.553\n\n2.242\n\n2.419\n\n2.862\n\n2.32\n\n2.419\n\n1.636\n\n1.726\n\n1.64\n\n1.401\n\n2.468\n\n2.739\n\n2.714\n\n2.727\n\n2.994\n\n2.762\n\n5.00001\n\n4.25\n\n3.612\n\n3.627\n\n4.183\n\n3.614\n\n2.993\n\n2.915\n\n2.607\n\n4.163\n\n2.881\n\n2.985\n\n1.78\n\n1.62\n\n2.023\n\n3.355\n\n1.908\n\n1.017\n\n1.389\n\n1.031\n\n0.648\n\n0.865\n\n0.981\n\n1.184\n\n0.977\n\n0.985\n\n0.948\n\n1.333\n\n1.118\n\n1.2\n\n1.237\n\n1.613\n\n1.95\n\n1.713\n\n1.397\n\n2.505\n\n2.14\n\n2.271\n\n1.681\n\n2.598\n\n3.309\n\n2.542\n\n2.483\n\n1.354\n\n1.974\n\n1.856\n\n1.438\n\n2.408\n\n1.951\n\n1.832\n\n2.878\n\n2.28\n\n1.719\n\n0.927\n\n0.839\n\n0.699\n\n1.19\n\n1.459\n\n0.764\n\n0.641\n\n0.922\n\n0.889\n\n0.649\n\n0.583\n\n0.503\n\n0.541\n\n0.498\n\n0.533\n\n1.734\n\n1.625\n\n1.493\n\n1.805\n\n1.461\n\n1.75\n\n4.521\n\n3.027\n\n3.439\n\n2.765\n\n0.743\n\n0.823\n\n1.791\n\n0.596\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.49712721269022564, "id": "", "name": "cube60_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube60_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e398\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n2.75\n\n1.734\n\n3.155\n\n2.168\n\n1.872\n\n1.821\n\n2.312\n\n2.534\n\n2.403\n\n2.54\n\n2.138\n\n3.334\n\n3.397\n\n3.529\n\n1.126\n\n1.178\n\n0.873\n\n1.114\n\n1.226\n\n1.688\n\n1.036\n\n2.042\n\n2.66\n\n1.125\n\n2.347\n\n3.069\n\n3.246\n\n3.513\n\n3.899\n\n2.042\n\n1.742\n\n1.333\n\n1.188\n\n0.506\n\n0.883\n\n0.845\n\n0.743\n\n0.694\n\n0.699\n\n1.034\n\n1.007\n\n0.816\n\n0.809\n\n1.182\n\n0.775\n\n1.573\n\n0.586\n\n0.598\n\n1.629\n\n1.158\n\n0.637\n\n1.662\n\n1.602\n\n4.286\n\n3.571\n\n2.621\n\n1.933\n\n2.451\n\n1.694\n\n1.83\n\n1.772\n\n1.813\n\n2.5\n\n1.583\n\n2.713\n\n1.629\n\n1.545\n\n1.868\n\n1.688\n\n2.833\n\n1.875\n\n3.5\n\n2.625\n\n1.667\n\n2.188\n\n1.583\n\n2.533\n\n2.406\n\n1.925\n\n1.448\n\n0.875\n\n1.375\n\n1.125\n\n1.1\n\n3.0\n\n1.667\n\n1.125\n\n1.875\n\n2.7\n\n2.5\n\n2.5\n\n2.292\n\n2.875\n\n2.583\n\n1.223\n\n1.188\n\n1.163\n\n3.5\n\n3.5\n\n5.00001\n\n2.15\n\n2.476\n\n1.673\n\n5.00001\n\n2.221\n\n2.481\n\n2.219\n\n1.845\n\n2.519\n\n2.605\n\n1.233\n\n2.621\n\n1.426\n\n1.597\n\n1.416\n\n1.576\n\n1.81\n\n1.362\n\n3.604\n\n2.273\n\n1.435\n\n1.352\n\n1.578\n\n2.25\n\n1.816\n\n1.85\n\n2.037\n\n1.716\n\n1.265\n\n1.322\n\n1.506\n\n1.721\n\n1.585\n\n1.42\n\n1.521\n\n1.327\n\n1.136\n\n1.933\n\n1.174\n\n1.577\n\n1.142\n\n1.607\n\n1.483\n\n1.708\n\n3.374\n\n3.196\n\n2.865\n\n1.183\n\n1.537\n\n1.417\n\n1.167\n\n1.862\n\n1.462\n\n1.797\n\n1.494\n\n1.607\n\n1.437\n\n1.639\n\n2.864\n\n5.00001\n\n5.00001\n\n2.283\n\n3.855\n\n1.151\n\n1.401\n\n1.411\n\n1.403\n\n1.327\n\n1.676\n\n1.429\n\n1.543\n\n2.394\n\n3.112\n\n0.849\n\n2.879\n\n3.015\n\n2.098\n\n1.188\n\n3.14\n\n4.143\n\n1.096\n\n0.728\n\n0.797\n\n0.798\n\n1.603\n\n1.085\n\n1.276\n\n2.017\n\n4.5\n\n1.486\n\n2.439\n\n2.832\n\n2.046\n\n2.379\n\n2.166\n\n3.092\n\n2.374\n\n2.399\n\n2.913\n\n2.184\n\n1.978\n\n1.821\n\n1.585\n\n1.656\n\n1.833\n\n1.768\n\n1.604\n\n1.938\n\n1.867\n\n1.741\n\n2.151\n\n1.468\n\n2.296\n\n1.794\n\n1.479\n\n0.859\n\n2.196\n\n1.713\n\n1.391\n\n1.691\n\n1.392\n\n1.448\n\n1.591\n\n1.953\n\n2.236\n\n2.165\n\n1.326\n\n1.633\n\n1.555\n\n1.272\n\n1.132\n\n1.246\n\n1.215\n\n1.364\n\n1.042\n\n1.687\n\n1.326\n\n1.742\n\n0.77\n\n1.131\n\n0.953\n\n1.234\n\n1.59\n\n1.745\n\n0.68\n\n0.824\n\n0.904\n\n0.879\n\n1.16\n\n1.063\n\n1.089\n\n0.966\n\n0.933\n\n1.166\n\n1.466\n\n1.361\n\n1.034\n\n0.978\n\n2.549\n\n2.522\n\n1.655\n\n1.63\n\n1.289\n\n1.278\n\n1.589\n\n1.016\n\n1.614\n\n1.217\n\n0.911\n\n1.052\n\n1.405\n\n1.258\n\n1.332\n\n1.307\n\n1.332\n\n0.888\n\n0.857\n\n0.93\n\n0.404\n\n1.402\n\n0.695\n\n0.925\n\n1.118\n\n1.257\n\n1.297\n\n0.982\n\n0.872\n\n1.0\n\n1.098\n\n1.795\n\n0.883\n\n1.337\n\n1.036\n\n1.519\n\n1.398\n\n2.216\n\n1.414\n\n1.873\n\n1.447\n\n1.663\n\n2.269\n\n1.098\n\n2.5\n\n1.661\n\n1.517\n\n1.464\n\n1.943\n\n1.757\n\n2.415\n\n2.813\n\n2.621\n\n1.785\n\n1.507\n\n1.709\n\n1.826\n\n2.375\n\n2.558\n\n1.299\n\n1.353\n\n0.985\n\n1.435\n\n1.996\n\n2.625\n\n1.667\n\n1.645\n\n2.433\n\n2.034\n\n1.579\n\n1.948\n\n2.773\n\n2.506\n\n2.67\n\n2.979\n\n3.043\n\n2.979\n\n2.847\n\n2.526\n\n3.01\n\n3.533\n\n2.62\n\n2.362\n\n2.724\n\n3.228\n\n2.728\n\n1.89\n\n3.451\n\n1.926\n\n1.858\n\n2.531\n\n1.601\n\n1.596\n\n1.838\n\n2.766\n\n2.574\n\n2.641\n\n2.798\n\n2.675\n\n5.00001\n\n2.394\n\n3.277\n\n2.801\n\n2.388\n\n3.931\n\n2.603\n\n1.601\n\n3.518\n\n1.316\n\n1.617\n\n1.298\n\n1.296\n\n1.266\n\n1.379\n\n1.583\n\n2.023\n\n1.841\n\n1.91\n\n1.609\n\n1.519\n\n1.955\n\n1.422\n\n1.481\n\n1.271\n\n1.065\n\n1.107\n\n4.233\n\n1.791\n\n1.873\n\n2.054\n\n3.119\n\n2.842\n\n2.931\n\n3.208\n\n0.691\n\n2.043\n\n1.641\n\n0.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5010033100960885, "id": "", "name": "cube61_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube61_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:72.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e164\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.128\n\n3.71\n\n2.534\n\n2.403\n\n2.54\n\n2.138\n\n3.334\n\n3.529\n\n1.126\n\n2.042\n\n2.347\n\n0.883\n\n0.743\n\n0.694\n\n0.699\n\n1.034\n\n1.007\n\n0.816\n\n0.809\n\n0.775\n\n1.158\n\n2.621\n\n1.933\n\n2.451\n\n1.694\n\n1.83\n\n2.713\n\n1.629\n\n1.545\n\n1.875\n\n3.5\n\n2.625\n\n1.925\n\n1.667\n\n1.875\n\n2.5\n\n2.292\n\n1.673\n\n5.00001\n\n2.221\n\n2.481\n\n1.845\n\n2.519\n\n1.426\n\n1.597\n\n1.81\n\n2.273\n\n1.435\n\n2.25\n\n1.816\n\n1.721\n\n1.933\n\n1.174\n\n1.577\n\n1.483\n\n1.708\n\n3.196\n\n2.865\n\n1.462\n\n1.437\n\n2.864\n\n5.00001\n\n5.00001\n\n2.283\n\n1.151\n\n1.411\n\n1.676\n\n1.429\n\n1.543\n\n2.394\n\n3.112\n\n2.098\n\n1.188\n\n0.797\n\n0.798\n\n1.603\n\n2.832\n\n2.046\n\n2.379\n\n3.092\n\n2.374\n\n2.399\n\n2.184\n\n1.604\n\n1.938\n\n1.867\n\n2.151\n\n1.479\n\n1.713\n\n1.691\n\n1.392\n\n1.448\n\n1.591\n\n2.165\n\n1.633\n\n1.272\n\n1.132\n\n1.215\n\n1.326\n\n0.953\n\n1.234\n\n0.68\n\n0.824\n\n0.904\n\n0.879\n\n1.16\n\n1.089\n\n0.966\n\n0.933\n\n1.361\n\n1.034\n\n2.549\n\n1.655\n\n1.289\n\n1.614\n\n1.052\n\n1.258\n\n1.332\n\n0.888\n\n0.925\n\n0.883\n\n1.398\n\n1.098\n\n2.5\n\n1.661\n\n1.464\n\n1.943\n\n2.813\n\n2.621\n\n1.785\n\n1.709\n\n1.353\n\n0.985\n\n1.435\n\n1.996\n\n1.667\n\n1.645\n\n2.034\n\n2.773\n\n2.506\n\n2.67\n\n3.01\n\n2.62\n\n2.362\n\n2.724\n\n3.228\n\n1.89\n\n1.858\n\n2.766\n\n2.574\n\n2.798\n\n2.603\n\n1.316\n\n1.298\n\n1.296\n\n1.266\n\n1.609\n\n1.519\n\n1.955\n\n1.422\n\n1.271\n\n1.791\n\n3.119\n\n2.842\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.53544260865352, "id": "", "name": "cube61_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube61_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:86.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e17.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e20.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e34\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.872\n\n1.924\n\n0.872\n\n1.549\n\n2.275\n\n3.0\n\n2.783\n\n1.362\n\n1.867\n\n1.639\n\n3.613\n\n1.2\n\n1.455\n\n1.879\n\n1.622\n\n1.979\n\n1.195\n\n1.499\n\n1.246\n\n1.327\n\n1.878\n\n1.372\n\n1.577\n\n1.235\n\n1.576\n\n1.038\n\n1.504\n\n1.687\n\n1.5\n\n2.611\n\n2.185\n\n2.239\n\n2.17\n\n2.043\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4144234562859497, "id": "", "name": "cube62_cluster0", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube62_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.872\n\n2.275\n\n1.867\n\n1.879\n\n1.979\n\n1.878\n\n1.577\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5790770593813377, "id": "", "name": "cube62_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube62_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e57.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e7\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.783\n\n3.613\n\n1.327\n\n1.372\n\n1.576\n\n1.038\n\n1.5\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.524486366504453, "id": "", "name": "cube63_cluster1", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube63_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:32.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e4.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:49.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:82.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:58.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e12.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e3686\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5416982306060192, "id": "", "name": "cube63_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube63_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:41.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e10.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:53.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1922\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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2\n\n1.58\n\n2.298\n\n2.38\n\n2.341\n\n2.545\n\n2.645\n\n1.984\n\n2.375\n\n4.05\n\n4.764\n\n5.00001\n\n5.00001\n\n5.00001\n\n4.555\n\n3.806\n\n3.32\n\n3.114\n\n3.277\n\n2.327\n\n2.222\n\n2.708\n\n3.519\n\n1.656\n\n5.00001\n\n3.141\n\n4.637\n\n3.187\n\n3.612\n\n3.627\n\n5.00001\n\n3.48\n\n3.559\n\n3.056\n\n2.538\n\n2.993\n\n2.346\n\n2.452\n\n2.741\n\n2.24\n\n2.215\n\n2.097\n\n1.844\n\n2.826\n\n2.518\n\n2.915\n\n2.171\n\n2.607\n\n4.163\n\n3.217\n\n3.868\n\n2.798\n\n2.985\n\n1.986\n\n3.05\n\n1.953\n\n1.843\n\n1.948\n\n1.784\n\n2.023\n\n3.833\n\n3.211\n\n1.184\n\n0.598\n\n0.977\n\n0.765\n\n0.613\n\n1.719\n\n0.948\n\n0.9\n\n1.625\n\n0.928\n\n0.979\n\n1.037\n\n1.118\n\n1.219\n\n1.903\n\n1.613\n\n1.95\n\n1.713\n\n1.734\n\n1.35\n\n1.44\n\n1.348\n\n1.404\n\n1.397\n\n1.201\n\n1.421\n\n1.306\n\n1.22\n\n2.188\n\n1.757\n\n1.785\n\n1.464\n\n2.132\n\n3.066\n\n2.463\n\n2.345\n\n2.68\n\n3.177\n\n1.625\n\n1.576\n\n1.355\n\n1.545\n\n2.271\n\n1.654\n\n1.681\n\n2.159\n\n2.084\n\n2.598\n\n1.943\n\n2.483\n\n2.521\n\n1.783\n\n1.469\n\n1.992\n\n2.131\n\n1.423\n\n1.836\n\n1.702\n\n3.453\n\n1.856\n\n1.432\n\n1.438\n\n1.573\n\n1.65\n\n2.508\n\n2.138\n\n1.688\n\n2.446\n\n1.719\n\n1.644\n\n0.927\n\n0.815\n\n1.744\n\n1.501\n\n1.464\n\n1.609\n\n1.383\n\n1.385\n\n1.481\n\n1.143\n\n1.186\n\n0.699\n\n1.07\n\n0.65\n\n0.588\n\n0.809\n\n0.749\n\n0.737\n\n0.813\n\n0.541\n\n1.293\n\n0.629\n\n0.821\n\n1.748\n\n1.436\n\n0.968\n\n1.619\n\n0.828\n\n0.764\n\n1.046\n\n1.275\n\n1.107\n\n0.53\n\n1.001\n\n0.891\n\n0.929\n\n1.148\n\n0.641\n\n0.58\n\n0.725\n\n0.772\n\n0.417\n\n0.62\n\n0.518\n\n0.517\n\n0.533\n\n0.652\n\n1.266\n\n0.631\n\n0.541\n\n0.802\n\n0.541\n\n0.446\n\n0.544\n\n0.71\n\n0.431\n\n0.533\n\n0.476\n\n1.734\n\n2.034\n\n1.653\n\n2.205\n\n1.674\n\n5.00001\n\n1.805\n\n1.811\n\n1.724\n\n3.058\n\n1.868\n\n1.82\n\n3.912\n\n1.771\n\n3.19\n\n2.994\n\n3.585\n\n4.521\n\n3.12\n\n3.027\n\n3.429\n\n3.16\n\n3.539\n\n2.426\n\n2.802\n\n1.964\n\n2.581\n\n2.644\n\n2.23\n\n3.439\n\n2.765\n\n0.802\n\n0.764\n\n1.159\n\n3.265\n\n1.791\n\n2.265\n\n1.079\n\n1.206\n\n1.525\n\n1.194\n\n1.65\n\n1.334\n\n1.273\n\n0.888\n\n0.697\n\n0.596\n\n0.612\n\n0.575\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5415561819475598, "id": "", "name": "cube64_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube64_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:73.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:51.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e7.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e6.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e15.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1275\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.49683533517896306, "id": "", "name": "cube64_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube64_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e8.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e580\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.734\n\n2.31\n\n3.539\n\n2.168\n\n1.619\n\n2.089\n\n2.312\n\n2.403\n\n2.54\n\n2.208\n\n1.931\n\n2.482\n\n2.08\n\n1.817\n\n2.994\n\n3.23\n\n3.397\n\n2.642\n\n1.114\n\n1.226\n\n0.813\n\n0.72\n\n1.036\n\n1.431\n\n1.861\n\n2.66\n\n1.82\n\n1.849\n\n2.948\n\n1.9\n\n1.578\n\n1.333\n\n1.975\n\n1.188\n\n0.69\n\n0.883\n\n0.845\n\n0.647\n\n0.993\n\n1.322\n\n1.234\n\n0.699\n\n1.429\n\n1.007\n\n0.936\n\n0.748\n\n1.182\n\n0.969\n\n1.573\n\n0.586\n\n1.3\n\n0.637\n\n0.455\n\n1.615\n\n2.287\n\n1.662\n\n1.648\n\n1.571\n\n1.602\n\n4.286\n\n2.542\n\n2.909\n\n2.613\n\n3.571\n\n2.621\n\n2.766\n\n2.303\n\n2.545\n\n1.933\n\n2.753\n\n2.451\n\n1.546\n\n1.576\n\n1.837\n\n1.817\n\n2.317\n\n1.653\n\n0.938\n\n2.211\n\n2.335\n\n2.271\n\n1.898\n\n1.835\n\n2.08\n\n3.749\n\n1.745\n\n1.893\n\n5.00001\n\n3.183\n\n1.545\n\n1.868\n\n1.688\n\n2.5\n\n1.667\n\n1.875\n\n2.304\n\n1.583\n\n1.984\n\n2.533\n\n2.406\n\n2.475\n\n2.583\n\n1.575\n\n1.925\n\n1.732\n\n1.565\n\n1.466\n\n1.516\n\n1.625\n\n1.75\n\n1.667\n\n1.75\n\n1.125\n\n4.75\n\n3.222\n\n3.6\n\n2.5\n\n2.292\n\n1.525\n\n2.583\n\n1.223\n\n1.188\n\n1.188\n\n5.00001\n\n5.00001\n\n3.5\n\n4.1\n\n3.0\n\n3.2\n\n2.75\n\n3.109\n\n2.712\n\n3.517\n\n2.15\n\n2.167\n\n1.631\n\n2.905\n\n4.622\n\n4.727\n\n2.098\n\n2.481\n\n2.219\n\n1.845\n\n4.462\n\n2.065\n\n2.519\n\n1.721\n\n2.605\n\n2.487\n\n3.499\n\n1.568\n\n2.23\n\n2.311\n\n1.568\n\n2.395\n\n0.98\n\n1.308\n\n1.107\n\n1.297\n\n2.129\n\n2.821\n\n2.621\n\n2.644\n\n1.426\n\n1.394\n\n1.522\n\n1.605\n\n1.599\n\n1.629\n\n1.81\n\n1.688\n\n1.541\n\n1.993\n\n1.719\n\n1.683\n\n1.529\n\n3.604\n\n1.867\n\n2.132\n\n2.738\n\n2.273\n\n2.228\n\n1.831\n\n1.844\n\n1.563\n\n1.352\n\n1.745\n\n2.055\n\n1.581\n\n2.178\n\n2.046\n\n1.816\n\n1.85\n\n2.037\n\n1.716\n\n1.788\n\n4.037\n\n2.572\n\n3.189\n\n1.265\n\n1.456\n\n1.322\n\n1.543\n\n1.456\n\n1.75\n\n1.288\n\n1.585\n\n1.59\n\n1.894\n\n1.76\n\n1.42\n\n1.463\n\n1.717\n\n1.693\n\n1.327\n\n1.324\n\n1.136\n\n1.334\n\n2.035\n\n1.933\n\n2.131\n\n1.975\n\n2.051\n\n3.294\n\n2.3\n\n1.837\n\n1.577\n\n1.271\n\n1.142\n\n1.483\n\n1.708\n\n1.714\n\n2.973\n\n3.374\n\n3.138\n\n3.196\n\n2.865\n\n1.429\n\n1.563\n\n1.375\n\n1.176\n\n2.429\n\n1.537\n\n1.397\n\n2.188\n\n1.862\n\n1.547\n\n1.633\n\n1.797\n\n3.673\n\n1.375\n\n1.438\n\n1.494\n\n1.437\n\n1.372\n\n3.788\n\n5.00001\n\n4.183\n\n5.00001\n\n5.00001\n\n3.0\n\n2.813\n\n3.041\n\n3.855\n\n1.401\n\n1.403\n\n1.327\n\n1.485\n\n2.518\n\n2.394\n\n2.537\n\n1.996\n\n2.781\n\n3.233\n\n2.932\n\n3.242\n\n0.728\n\n0.797\n\n0.952\n\n1.599\n\n1.425\n\n1.603\n\n1.192\n\n1.897\n\n1.683\n\n3.875\n\n4.5\n\n1.421\n\n1.683\n\n1.486\n\n1.434\n\n2.695\n\n3.13\n\n2.439\n\n2.526\n\n2.682\n\n2.046\n\n2.574\n\n2.022\n\n1.972\n\n2.166\n\n2.479\n\n2.782\n\n1.625\n\n3.58\n\n2.471\n\n1.909\n\n3.454\n\n4.309\n\n2.13\n\n2.184\n\n2.492\n\n3.166\n\n1.167\n\n1.214\n\n1.768\n\n1.836\n\n1.604\n\n1.938\n\n2.512\n\n2.035\n\n1.829\n\n1.867\n\n1.741\n\n1.618\n\n1.904\n\n1.674\n\n1.865\n\n1.893\n\n2.909\n\n1.857\n\n1.43\n\n1.843\n\n1.359\n\n1.113\n\n2.196\n\n1.293\n\n1.628\n\n1.353\n\n1.455\n\n1.391\n\n1.691\n\n1.246\n\n1.392\n\n1.328\n\n1.953\n\n2.214\n\n1.371\n\n2.048\n\n1.381\n\n1.608\n\n2.236\n\n2.145\n\n1.326\n\n1.132\n\n1.17\n\n1.042\n\n1.092\n\n1.509\n\n1.475\n\n1.347\n\n1.215\n\n0.959\n\n1.121\n\n0.956\n\n0.948\n\n0.694\n\n0.783\n\n1.569\n\n2.179\n\n0.746\n\n1.063\n\n1.374\n\n1.2\n\n0.986\n\n1.585\n\n2.161\n\n1.247\n\n1.154\n\n1.39\n\n1.361\n\n1.38\n\n1.089\n\n1.924\n\n2.067\n\n1.655\n\n1.63\n\n2.023\n\n1.646\n\n1.787\n\n1.813\n\n1.278\n\n1.748\n\n1.589\n\n1.164\n\n1.341\n\n1.19\n\n1.016\n\n1.437\n\n1.217\n\n1.058\n\n1.055\n\n1.052\n\n1.126\n\n1.307\n\n1.265\n\n1.016\n\n1.065\n\n0.888\n\n0.994\n\n1.977\n\n0.857\n\n0.93\n\n1.102\n\n2.696\n\n1.309\n\n1.265\n\n0.695\n\n0.928\n\n1.244\n\n1.257\n\n1.297\n\n0.982\n\n0.719\n\n1.02\n\n0.933\n\n1.088\n\n0.872\n\n1.35\n\n1.591\n\n1.795\n\n1.641\n\n2.1\n\n1.337\n\n1.519\n\n1.355\n\n1.523\n\n1.297\n\n1.529\n\n0.983\n\n1.761\n\n1.276\n\n1.37\n\n1.873\n\n1.447\n\n1.713\n\n1.663\n\n1.406\n\n1.125\n\n1.388\n\n1.241\n\n1.083\n\n1.173\n\n1.546\n\n1.342\n\n1.464\n\n1.757\n\n1.678\n\n1.881\n\n1.785\n\n2.161\n\n1.516\n\n1.521\n\n2.541\n\n2.05\n\n1.775\n\n1.826\n\n0.916\n\n2.558\n\n2.852\n\n1.353\n\n1.911\n\n1.423\n\n2.625\n\n1.728\n\n1.645\n\n2.433\n\n2.173\n\n1.1\n\n1.39\n\n1.135\n\n2.616\n\n3.07\n\n2.777\n\n2.847\n\n2.526\n\n2.398\n\n3.01\n\n2.804\n\n2.813\n\n3.91\n\n4.04\n\n4.303\n\n2.932\n\n3.228\n\n2.728\n\n2.766\n\n3.436\n\n1.626\n\n3.451\n\n1.537\n\n2.136\n\n2.139\n\n2.342\n\n1.926\n\n1.858\n\n1.786\n\n2.419\n\n1.64\n\n1.596\n\n2.099\n\n1.717\n\n2.287\n\n2.645\n\n3.074\n\n3.021\n\n2.675\n\n2.675\n\n2.429\n\n2.794\n\n3.32\n\n2.394\n\n3.277\n\n2.558\n\n2.346\n\n2.388\n\n2.376\n\n3.217\n\n3.931\n\n3.868\n\n2.515\n\n2.985\n\n2.286\n\n1.948\n\n3.518\n\n1.719\n\n0.948\n\n1.625\n\n1.95\n\n1.713\n\n1.734\n\n1.298\n\n1.263\n\n1.379\n\n1.201\n\n1.22\n\n1.548\n\n1.609\n\n1.422\n\n0.927\n\n1.609\n\n1.481\n\n1.07\n\n0.813\n\n0.821\n\n1.436\n\n0.828\n\n1.065\n\n1.107\n\n2.276\n\n2.365\n\n2.034\n\n1.868\n\n2.205\n\n4.233\n\n2.054\n\n1.868\n\n3.912\n\n4.521\n\n3.119\n\n2.466\n\n2.931\n\n3.208\n\n2.426\n\n2.802\n\n2.23\n\n0.802\n\n1.159\n\n1.641\n\n1.65\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.44354352787416407, "id": "", "name": "cube65_cluster0", "size": 5, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube65_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:14.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e2.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e17.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:93.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e16.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e12.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e78\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.403\n\n2.54\n\n0.883\n\n0.699\n\n0.748\n\n2.542\n\n2.613\n\n2.621\n\n2.545\n\n2.451\n\n1.546\n\n1.576\n\n1.898\n\n2.08\n\n1.745\n\n5.00001\n\n1.545\n\n1.925\n\n1.667\n\n2.292\n\n2.905\n\n2.098\n\n2.481\n\n2.065\n\n2.519\n\n1.568\n\n1.568\n\n2.821\n\n1.426\n\n1.81\n\n1.993\n\n2.228\n\n1.831\n\n1.334\n\n2.131\n\n1.975\n\n3.294\n\n1.837\n\n1.577\n\n1.483\n\n1.714\n\n3.196\n\n1.437\n\n3.788\n\n5.00001\n\n4.183\n\n5.00001\n\n1.996\n\n1.897\n\n2.046\n\n1.972\n\n2.13\n\n1.214\n\n1.836\n\n1.867\n\n1.904\n\n1.857\n\n1.691\n\n1.132\n\n1.361\n\n1.646\n\n1.052\n\n0.888\n\n1.464\n\n1.785\n\n1.516\n\n1.353\n\n3.01\n\n3.228\n\n1.858\n\n1.786\n\n1.298\n\n1.609\n\n1.422\n\n2.276\n\n1.868\n\n3.119\n\n2.466\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4082271427879258, "id": "", "name": "cube65_cluster1", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube65_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e28.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e22.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e2.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e35\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.007\n\n2.303\n\n1.933\n\n2.335\n\n2.271\n\n1.845\n\n2.23\n\n2.311\n\n2.395\n\n2.129\n\n2.783\n\n1.688\n\n1.719\n\n2.273\n\n1.581\n\n1.816\n\n3.189\n\n1.933\n\n1.708\n\n2.865\n\n2.394\n\n1.879\n\n0.797\n\n1.603\n\n2.184\n\n1.604\n\n1.938\n\n2.512\n\n1.674\n\n1.195\n\n1.392\n\n1.371\n\n1.655\n\n1.645\n\n2.17\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3046174717767334, "id": "", "name": "cube66_cluster1", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube66_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.783\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.44377150055719755, "id": "", "name": "cube66_cluster0", "size": 1, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube66_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e100.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.879\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.5138420170716124, "id": "", "name": "cube67_cluster0", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube67_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:64.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e7.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e14.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5777\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5291349246059662, "id": "", "name": "cube67_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube67_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:62.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:81.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:70.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e12.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2941\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.5276349916122604, "id": "", "name": "cube68_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube68_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1676\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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", "type": "circle"}, {"color": 0.4772614359590295, "id": "", "name": "cube68_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube68_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:44.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:83.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:96.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e14.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e8.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:33.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:65.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e9.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e654\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.284\n\n2.31\n\n3.539\n\n2.917\n\n2.525\n\n1.905\n\n1.703\n\n1.619\n\n2.089\n\n2.125\n\n2.202\n\n2.697\n\n2.312\n\n1.894\n\n2.208\n\n2.36\n\n3.324\n\n2.222\n\n1.969\n\n2.235\n\n2.435\n\n2.185\n\n3.23\n\n2.002\n\n1.884\n\n0.72\n\n1.5\n\n1.139\n\n1.664\n\n2.732\n\n1.667\n\n1.446\n\n2.521\n\n2.603\n\n2.66\n\n2.948\n\n1.732\n\n1.9\n\n1.578\n\n1.291\n\n1.414\n\n0.69\n\n0.808\n\n0.788\n\n0.837\n\n0.993\n\n0.79\n\n1.046\n\n0.676\n\n1.234\n\n1.429\n\n0.828\n\n0.936\n\n0.7\n\n0.748\n\n0.969\n\n0.547\n\n0.857\n\n0.872\n\n1.3\n\n0.455\n\n2.287\n\n1.663\n\n1.583\n\n1.648\n\n2.356\n\n2.116\n\n1.632\n\n1.803\n\n2.034\n\n1.543\n\n1.601\n\n1.941\n\n1.833\n\n1.9\n\n3.44\n\n1.521\n\n2.542\n\n2.909\n\n2.613\n\n2.715\n\n2.766\n\n2.545\n\n1.688\n\n2.29\n\n3.231\n\n1.707\n\n1.546\n\n1.837\n\n1.755\n\n1.819\n\n1.724\n\n1.716\n\n2.119\n\n2.215\n\n2.317\n\n1.653\n\n1.742\n\n2.215\n\n2.652\n\n1.854\n\n1.405\n\n2.212\n\n2.021\n\n0.938\n\n2.211\n\n2.817\n\n2.737\n\n2.271\n\n1.898\n\n2.993\n\n3.384\n\n3.361\n\n1.835\n\n2.08\n\n1.745\n\n1.893\n\n5.00001\n\n3.183\n\n1.769\n\n2.521\n\n1.854\n\n1.871\n\n1.625\n\n2.111\n\n2.5\n\n1.875\n\n2.125\n\n1.739\n\n5.00001\n\n1.705\n\n1.843\n\n1.792\n\n1.708\n\n1.488\n\n1.565\n\n1.428\n\n1.625\n\n2.167\n\n2.531\n\n2.823\n\n3.056\n\n1.75\n\n5.00001\n\n3.6\n\n1.727\n\n1.875\n\n1.139\n\n1.185\n\n1.679\n\n0.99\n\n1.014\n\n5.00001\n\n5.00001\n\n5.0\n\n2.688\n\n3.2\n\n4.5\n\n2.25\n\n2.431\n\n3.109\n\n2.712\n\n3.517\n\n2.857\n\n1.759\n\n1.654\n\n3.462\n\n2.905\n\n2.852\n\n2.8\n\n2.387\n\n2.554\n\n2.866\n\n2.224\n\n1.929\n\n2.195\n\n2.29\n\n2.181\n\n4.462\n\n2.469\n\n1.498\n\n2.487\n\n3.499\n\n1.568\n\n2.221\n\n2.23\n\n1.926\n\n2.311\n\n2.757\n\n1.568\n\n2.148\n\n1.135\n\n1.308\n\n1.35\n\n1.133\n\n1.297\n\n1.136\n\n2.129\n\n2.644\n\n1.733\n\n1.807\n\n1.176\n\n1.394\n\n1.458\n\n1.584\n\n1.613\n\n1.605\n\n1.418\n\n1.599\n\n1.878\n\n2.044\n\n4.912\n\n1.668\n\n1.782\n\n1.541\n\n1.993\n\n2.154\n\n2.261\n\n1.529\n\n1.867\n\n2.84\n\n2.738\n\n2.228\n\n1.841\n\n1.686\n\n1.423\n\n1.563\n\n2.132\n\n1.882\n\n3.197\n\n1.7\n\n2.178\n\n1.884\n\n2.017\n\n2.046\n\n2.08\n\n2.271\n\n2.023\n\n1.788\n\n1.833\n\n1.685\n\n4.037\n\n1.888\n\n3.726\n\n1.603\n\n1.54\n\n1.556\n\n1.697\n\n2.082\n\n1.342\n\n1.787\n\n1.456\n\n1.699\n\n1.844\n\n1.784\n\n1.62\n\n1.694\n\n1.894\n\n1.642\n\n1.662\n\n1.621\n\n1.102\n\n1.324\n\n1.056\n\n1.334\n\n2.035\n\n2.131\n\n1.692\n\n1.944\n\n2.051\n\n2.182\n\n3.294\n\n2.177\n\n2.159\n\n2.086\n\n1.922\n\n2.3\n\n1.837\n\n1.656\n\n1.271\n\n1.509\n\n1.319\n\n1.714\n\n2.973\n\n3.138\n\n2.842\n\n2.887\n\n2.937\n\n2.751\n\n2.109\n\n1.684\n\n1.429\n\n1.369\n\n1.563\n\n1.519\n\n1.381\n\n1.375\n\n1.975\n\n1.418\n\n1.176\n\n1.991\n\n2.429\n\n2.188\n\n1.633\n\n3.673\n\n1.0\n\n1.375\n\n1.477\n\n1.513\n\n1.772\n\n1.798\n\n1.425\n\n1.523\n\n2.045\n\n1.372\n\n4.345\n\n4.178\n\n3.289\n\n3.788\n\n5.00001\n\n2.711\n\n4.168\n\n5.00001\n\n5.00001\n\n3.833\n\n3.041\n\n1.594\n\n1.3\n\n2.184\n\n1.485\n\n1.372\n\n2.201\n\n2.537\n\n1.996\n\n2.281\n\n2.781\n\n2.829\n\n3.233\n\n4.411\n\n0.675\n\n0.988\n\n0.952\n\n1.599\n\n1.529\n\n1.481\n\n2.023\n\n1.683\n\n2.552\n\n3.477\n\n1.421\n\n1.683\n\n1.748\n\n1.629\n\n3.067\n\n2.695\n\n3.13\n\n2.0\n\n2.061\n\n2.526\n\n2.682\n\n1.431\n\n2.574\n\n2.022\n\n1.972\n\n2.578\n\n2.04\n\n2.773\n\n2.393\n\n3.782\n\n1.909\n\n2.716\n\n2.13\n\n2.492\n\n2.433\n\n2.331\n\n1.167\n\n2.331\n\n2.528\n\n1.836\n\n1.464\n\n2.512\n\n2.035\n\n2.023\n\n1.647\n\n1.575\n\n1.722\n\n1.829\n\n1.739\n\n1.903\n\n1.84\n\n1.914\n\n1.907\n\n1.779\n\n1.904\n\n1.674\n\n1.865\n\n1.795\n\n2.072\n\n1.521\n\n2.258\n\n2.909\n\n2.678\n\n2.378\n\n2.956\n\n3.8\n\n2.649\n\n2.376\n\n2.404\n\n1.901\n\n1.857\n\n1.78\n\n1.843\n\n1.392\n\n1.051\n\n0.924\n\n1.225\n\n1.139\n\n1.487\n\n1.628\n\n1.455\n\n2.032\n\n1.356\n\n1.246\n\n1.147\n\n1.58\n\n1.17\n\n1.07\n\n1.771\n\n1.371\n\n2.048\n\n1.503\n\n1.381\n\n1.845\n\n0.869\n\n1.17\n\n1.006\n\n1.092\n\n1.897\n\n1.095\n\n1.215\n\n1.376\n\n1.121\n\n0.956\n\n0.734\n\n0.546\n\n1.569\n\n2.179\n\n1.789\n\n0.746\n\n1.374\n\n1.188\n\n1.464\n\n1.621\n\n1.505\n\n1.585\n\n2.161\n\n1.432\n\n1.247\n\n0.999\n\n1.39\n\n1.59\n\n1.156\n\n1.135\n\n1.345\n\n2.067\n\n1.373\n\n1.63\n\n1.931\n\n1.625\n\n1.27\n\n0.981\n\n1.0\n\n1.58\n\n1.646\n\n1.569\n\n1.557\n\n1.813\n\n1.748\n\n1.164\n\n1.207\n\n1.138\n\n1.164\n\n1.275\n\n1.126\n\n1.265\n\n1.332\n\n1.016\n\n1.115\n\n1.145\n\n0.994\n\n1.611\n\n1.065\n\n1.027\n\n1.358\n\n1.08\n\n1.03\n\n1.167\n\n1.019\n\n0.908\n\n1.004\n\n0.931\n\n0.719\n\n0.933\n\n1.088\n\n0.653\n\n0.84\n\n0.668\n\n0.69\n\n2.91\n\n1.404\n\n1.641\n\n2.1\n\n1.559\n\n1.283\n\n0.983\n\n1.276\n\n1.37\n\n1.406\n\n1.125\n\n1.644\n\n1.352\n\n1.241\n\n1.173\n\n1.342\n\n2.854\n\n1.813\n\n1.678\n\n2.458\n\n1.521\n\n1.739\n\n1.585\n\n2.128\n\n1.363\n\n1.877\n\n1.423\n\n3.919\n\n5.0\n\n1.1\n\n0.921\n\n1.39\n\n1.415\n\n1.621\n\n1.135\n\n2.616\n\n2.762\n\n2.324\n\n2.398\n\n2.73\n\n3.021\n\n2.425\n\n2.348\n\n3.91\n\n4.303\n\n2.932\n\n4.38\n\n5.00001\n\n3.086\n\n2.797\n\n1.064\n\n1.537\n\n2.139\n\n2.821\n\n2.5\n\n1.758\n\n2.276\n\n2.299\n\n1.848\n\n1.717\n\n3.337\n\n2.458\n\n2.648\n\n2.611\n\n2.287\n\n2.25\n\n2.545\n\n2.645\n\n3.021\n\n3.552\n\n2.375\n\n3.149\n\n2.773\n\n2.675\n\n2.739\n\n2.691\n\n3.32\n\n3.433\n\n2.298\n\n2.75\n\n4.612\n\n2.264\n\n2.558\n\n2.346\n\n2.624\n\n2.215\n\n2.826\n\n2.298\n\n2.269\n\n2.393\n\n3.868\n\n2.798\n\n2.515\n\n2.7\n\n3.553\n\n2.624\n\n2.156\n\n2.835\n\n1.625\n\n1.903\n\n1.734\n\n1.085\n\n1.201\n\n1.306\n\n1.22\n\n1.744\n\n1.293\n\n1.609\n\n1.383\n\n1.07\n\n0.813\n\n1.113\n\n0.862\n\n0.828\n\n2.379\n\n2.276\n\n2.327\n\n2.365\n\n2.034\n\n4.093\n\n1.868\n\n1.605\n\n2.205\n\n3.804\n\n1.811\n\n1.758\n\n1.724\n\n2.152\n\n1.854\n\n2.132\n\n2.322\n\n2.466\n\n2.217\n\n1.304\n\n2.287\n\n1.738\n\n3.259\n\n2.086\n\n2.426\n\n1.821\n\n2.802\n\n2.38\n\n0.802\n\n1.159\n\n2.265\n\n1.334\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3919135473474347, "id": "", "name": "cube69_cluster0", "size": 4, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube69_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:88.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e29.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:13.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:25.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e27\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n0.748\n\n1.632\n\n2.613\n\n2.545\n\n1.898\n\n1.745\n\n5.00001\n\n2.905\n\n1.568\n\n1.807\n\n1.782\n\n1.993\n\n2.228\n\n1.334\n\n3.294\n\n1.319\n\n1.714\n\n2.109\n\n3.788\n\n1.996\n\n1.836\n\n1.904\n\n2.678\n\n1.857\n\n1.646\n\n2.276\n\n2.466\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.3942112020931247, "id": "", "name": "cube69_cluster1", "size": 3, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube69_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e25.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e31.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e6.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e16\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.542\n\n1.546\n\n2.271\n\n2.08\n\n1.568\n\n2.23\n\n2.311\n\n2.129\n\n2.131\n\n1.837\n\n1.972\n\n2.13\n\n2.512\n\n1.674\n\n1.371\n\n1.868\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.47403278685434497, "id": "", "name": "cube70_cluster0", "size": 9, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube70_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:80.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e10.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:67.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e8.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e6.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:50.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e6.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:95.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e12.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e5655\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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221\n\n1.981\n\n1.934\n\n2.5\n\n2.239\n\n2.177\n\n2.091\n\n1.918\n\n2.292\n\n3.02\n\n2.441\n\n2.298\n\n2.367\n\n2.27\n\n0.866\n\n0.862\n\n1.469\n\n1.417\n\n1.569\n\n1.536\n\n1.485\n\n1.308\n\n1.943\n\n2.362\n\n1.031\n\n1.544\n\n1.672\n\n1.469\n\n0.879\n\n0.698\n\n0.836\n\n0.963\n\n0.847\n\n0.655\n\n0.872\n\n0.924\n\n0.983\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4990599528436895, "id": "", "name": "cube70_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube70_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:48.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e9.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:84.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:89.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e12.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:69.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e14.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:38.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:78.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e9.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2694\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4982969480546767, "id": "", "name": "cube71_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube71_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e6.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:94.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:99.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e13.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:68.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e13.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e8.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:85.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:76.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e10.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1266\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4617492794706834, "id": "", "name": "cube71_cluster1", "size": 7, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube71_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:22.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:52.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e11.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:56.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e11.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:90.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e19.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:54.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e21.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:28.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:4.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:27.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:39.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e438\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.793\n\n1.909\n\n2.56\n\n2.234\n\n2.202\n\n2.697\n\n2.312\n\n3.324\n\n2.222\n\n2.309\n\n2.235\n\n2.239\n\n2.435\n\n2.113\n\n2.711\n\n2.168\n\n1.884\n\n1.667\n\n3.14\n\n1.291\n\n0.73\n\n0.89\n\n0.79\n\n0.87\n\n0.676\n\n0.576\n\n0.707\n\n0.7\n\n0.723\n\n2.761\n\n2.933\n\n1.543\n\n2.356\n\n2.116\n\n2.034\n\n1.543\n\n1.601\n\n1.941\n\n1.521\n\n2.259\n\n3.118\n\n3.759\n\n2.715\n\n1.688\n\n2.29\n\n3.231\n\n2.64\n\n3.181\n\n2.4\n\n1.707\n\n2.042\n\n2.692\n\n2.215\n\n2.652\n\n2.021\n\n2.291\n\n2.056\n\n2.325\n\n1.998\n\n1.95\n\n1.706\n\n2.705\n\n2.228\n\n3.289\n\n5.00001\n\n2.438\n\n3.825\n\n2.631\n\n2.521\n\n1.854\n\n1.871\n\n1.56\n\n4.357\n\n1.739\n\n2.414\n\n2.167\n\n3.056\n\n1.727\n\n2.083\n\n1.375\n\n1.32\n\n1.679\n\n1.023\n\n2.688\n\n3.273\n\n2.25\n\n3.669\n\n1.759\n\n2.827\n\n3.462\n\n4.461\n\n2.8\n\n3.186\n\n2.387\n\n2.554\n\n2.866\n\n2.568\n\n2.29\n\n2.559\n\n2.879\n\n2.194\n\n2.117\n\n1.746\n\n2.221\n\n1.921\n\n1.926\n\n1.805\n\n2.123\n\n2.618\n\n1.525\n\n1.24\n\n1.136\n\n1.135\n\n1.173\n\n1.342\n\n1.35\n\n1.733\n\n1.53\n\n1.584\n\n1.608\n\n1.878\n\n2.044\n\n4.912\n\n1.921\n\n2.154\n\n3.024\n\n2.899\n\n2.84\n\n2.699\n\n2.426\n\n2.352\n\n1.752\n\n1.759\n\n1.686\n\n1.535\n\n2.132\n\n2.109\n\n1.882\n\n2.087\n\n2.524\n\n3.197\n\n3.644\n\n3.814\n\n2.31\n\n1.992\n\n2.188\n\n1.7\n\n2.017\n\n2.141\n\n2.08\n\n2.271\n\n2.043\n\n3.411\n\n2.372\n\n1.851\n\n1.833\n\n2.476\n\n1.442\n\n2.198\n\n1.739\n\n1.647\n\n1.918\n\n1.847\n\n2.852\n\n2.154\n\n2.227\n\n1.601\n\n2.086\n\n2.082\n\n1.819\n\n1.738\n\n1.787\n\n1.753\n\n1.694\n\n1.814\n\n1.056\n\n1.692\n\n2.165\n\n2.188\n\n2.177\n\n2.159\n\n2.086\n\n1.922\n\n2.329\n\n1.656\n\n1.763\n\n1.666\n\n1.567\n\n1.46\n\n2.049\n\n2.842\n\n2.937\n\n4.374\n\n1.627\n\n1.533\n\n1.684\n\n1.841\n\n1.698\n\n2.087\n\n1.519\n\n1.381\n\n1.375\n\n1.975\n\n1.991\n\n2.225\n\n1.0\n\n1.098\n\n1.149\n\n1.898\n\n1.434\n\n1.477\n\n1.513\n\n1.772\n\n1.798\n\n1.531\n\n1.425\n\n1.292\n\n1.919\n\n2.045\n\n2.021\n\n2.37\n\n4.345\n\n3.798\n\n2.666\n\n3.953\n\n4.178\n\n3.289\n\n3.608\n\n5.00001\n\n2.779\n\n3.838\n\n2.711\n\n4.168\n\n2.853\n\n5.00001\n\n1.04\n\n1.172\n\n2.184\n\n1.372\n\n2.281\n\n2.829\n\n1.463\n\n0.988\n\n1.529\n\n1.481\n\n2.023\n\n2.552\n\n1.331\n\n1.619\n\n3.019\n\n2.803\n\n2.335\n\n2.061\n\n1.696\n\n2.42\n\n1.431\n\n1.063\n\n2.746\n\n2.389\n\n2.954\n\n2.433\n\n2.331\n\n2.333\n\n1.832\n\n2.355\n\n1.772\n\n2.331\n\n2.964\n\n2.528\n\n2.256\n\n2.194\n\n2.481\n\n2.449\n\n2.326\n\n1.828\n\n2.541\n\n2.285\n\n1.977\n\n2.286\n\n1.575\n\n1.722\n\n2.063\n\n1.808\n\n1.739\n\n1.802\n\n1.987\n\n1.703\n\n1.903\n\n2.228\n\n1.907\n\n1.779\n\n2.114\n\n1.521\n\n2.258\n\n2.845\n\n2.319\n\n2.797\n\n3.319\n\n2.857\n\n3.369\n\n2.61\n\n2.378\n\n2.956\n\n3.8\n\n2.219\n\n1.8\n\n3.047\n\n2.481\n\n1.918\n\n2.376\n\n2.404\n\n2.56\n\n2.264\n\n1.901\n\n2.241\n\n1.952\n\n2.134\n\n2.264\n\n1.651\n\n1.78\n\n1.605\n\n1.051\n\n1.225\n\n1.234\n\n1.165\n\n1.108\n\n1.139\n\n1.487\n\n2.032\n\n1.639\n\n1.543\n\n1.356\n\n1.147\n\n1.261\n\n1.58\n\n0.91\n\n1.771\n\n1.18\n\n1.845\n\n1.335\n\n1.183\n\n1.465\n\n1.238\n\n1.006\n\n1.636\n\n1.2\n\n0.726\n\n1.33\n\n1.36\n\n1.373\n\n1.63\n\n1.797\n\n1.01\n\n1.228\n\n1.373\n\n1.587\n\n0.981\n\n1.491\n\n1.58\n\n1.557\n\n1.098\n\n0.974\n\n1.275\n\n1.054\n\n1.055\n\n1.332\n\n1.145\n\n1.611\n\n1.08\n\n1.352\n\n1.167\n\n0.69\n\n1.25\n\n1.689\n\n1.923\n\n1.818\n\n1.809\n\n1.415\n\n1.621\n\n3.693\n\n5.00001\n\n2.614\n\n2.93\n\n2.5\n\n1.848\n\n2.25\n\n2.307\n\n2.561\n\n3.552\n\n2.773\n\n2.93\n\n2.739\n\n2.691\n\n2.746\n\n2.422\n\n4.518\n\n4.301\n\n4.612\n\n2.264\n\n2.624\n\n2.298\n\n2.269\n\n2.156\n\n2.835\n\n2.291\n\n0.862\n\n1.248\n\n2.017\n\n2.148\n\n1.86\n\n2.379\n\n2.431\n\n2.199\n\n2.327\n\n2.18\n\n1.605\n\n2.199\n\n2.343\n\n1.987\n\n1.971\n\n2.354\n\n3.804\n\n2.429\n\n1.656\n\n2.152\n\n1.854\n\n2.322\n\n2.713\n\n2.326\n\n3.994\n\n1.304\n\n2.287\n\n2.128\n\n2.247\n\n2.224\n\n1.821\n\n2.38\n\n2.252\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4107511655743027, "id": "", "name": "cube72_cluster1", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube72_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e5.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e13.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:60.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e14.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e24.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:61.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e14.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:46.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e11.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:10.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:3.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:31.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e7.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e4.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e2465\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.4341631952626637, "id": "", "name": "cube72_cluster0", "size": 8, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube72_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:71.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e14.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:59.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e12.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:55.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:87.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e18.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:3.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:29.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e6.1%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e7.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e1187\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e 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"type": "circle"}, {"color": 0.43023931312919567, "id": "", "name": "cube73_cluster0", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube73_cluster0)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:23.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e4.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:77.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e15.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:63.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e13.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e20.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:57.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e11.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:79.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e16.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:19.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e3.8%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.3%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:26.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e5.4%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:40.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e8.2%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e392\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n1.353\n\n2.094\n\n1.883\n\n2.18\n\n1.847\n\n1.807\n\n1.741\n\n3.316\n\n2.489\n\n2.326\n\n2.213\n\n2.932\n\n1.844\n\n1.684\n\n1.628\n\n1.31\n\n3.212\n\n1.911\n\n1.84\n\n0.681\n\n0.714\n\n1.017\n\n0.706\n\n0.995\n\n0.637\n\n0.826\n\n0.979\n\n1.911\n\n1.621\n\n2.199\n\n2.227\n\n2.482\n\n2.302\n\n1.56\n\n1.894\n\n3.017\n\n2.225\n\n3.273\n\n2.808\n\n2.484\n\n2.219\n\n2.302\n\n2.554\n\n2.423\n\n2.399\n\n1.915\n\n1.795\n\n1.986\n\n2.264\n\n2.225\n\n2.256\n\n3.127\n\n2.86\n\n1.773\n\n3.679\n\n2.265\n\n2.2\n\n1.974\n\n2.02\n\n2.929\n\n2.381\n\n2.455\n\n1.742\n\n2.132\n\n2.087\n\n1.998\n\n2.053\n\n2.291\n\n1.923\n\n2.403\n\n1.788\n\n2.584\n\n2.552\n\n2.448\n\n2.237\n\n2.464\n\n2.596\n\n2.634\n\n3.382\n\n4.25\n\n3.092\n\n1.734\n\n2.32\n\n1.721\n\n1.964\n\n1.663\n\n1.839\n\n0.936\n\n2.077\n\n2.542\n\n2.221\n\n3.019\n\n3.25\n\n1.628\n\n1.797\n\n2.263\n\n2.234\n\n2.333\n\n1.823\n\n1.691\n\n2.317\n\n3.0\n\n2.456\n\n4.0\n\n3.667\n\n2.063\n\n3.511\n\n2.243\n\n2.809\n\n2.156\n\n1.98\n\n1.855\n\n2.289\n\n1.917\n\n1.504\n\n2.022\n\n2.3\n\n1.351\n\n1.313\n\n1.288\n\n2.476\n\n1.996\n\n1.827\n\n1.57\n\n1.262\n\n1.767\n\n1.811\n\n1.66\n\n1.667\n\n1.607\n\n1.804\n\n1.759\n\n1.976\n\n2.111\n\n1.907\n\n2.102\n\n2.113\n\n1.839\n\n1.932\n\n2.95\n\n2.62\n\n3.915\n\n2.736\n\n1.617\n\n1.67\n\n2.123\n\n4.265\n\n2.481\n\n2.088\n\n1.814\n\n1.663\n\n2.119\n\n1.695\n\n2.424\n\n2.512\n\n2.141\n\n3.649\n\n1.925\n\n2.081\n\n2.432\n\n2.539\n\n2.23\n\n2.546\n\n3.058\n\n2.933\n\n2.684\n\n1.637\n\n2.667\n\n2.824\n\n2.588\n\n1.779\n\n1.673\n\n2.792\n\n1.625\n\n1.678\n\n1.744\n\n2.104\n\n2.198\n\n1.768\n\n1.91\n\n1.682\n\n1.072\n\n1.241\n\n1.177\n\n1.846\n\n1.911\n\n1.772\n\n1.905\n\n1.592\n\n1.641\n\n1.446\n\n1.461\n\n1.834\n\n2.065\n\n1.655\n\n1.982\n\n2.397\n\n2.408\n\n2.656\n\n2.081\n\n1.953\n\n2.008\n\n2.46\n\n2.259\n\n2.155\n\n1.704\n\n1.946\n\n1.626\n\n1.608\n\n2.181\n\n2.005\n\n1.592\n\n1.64\n\n4.635\n\n1.086\n\n1.708\n\n1.609\n\n1.813\n\n1.88\n\n2.088\n\n2.241\n\n1.814\n\n2.421\n\n1.947\n\n2.15\n\n2.929\n\n3.781\n\n3.662\n\n2.719\n\n2.984\n\n2.917\n\n2.348\n\n2.799\n\n4.468\n\n3.656\n\n2.864\n\n5.00001\n\n3.551\n\n1.088\n\n1.636\n\n1.135\n\n1.074\n\n1.695\n\n2.134\n\n1.83\n\n2.026\n\n2.142\n\n2.257\n\n2.538\n\n1.613\n\n2.247\n\n1.844\n\n2.27\n\n2.016\n\n1.907\n\n2.605\n\n2.269\n\n2.461\n\n2.724\n\n2.274\n\n2.233\n\n2.82\n\n2.438\n\n2.158\n\n2.455\n\n1.555\n\n2.664\n\n1.457\n\n2.169\n\n2.119\n\n2.15\n\n1.405\n\n2.555\n\n2.248\n\n2.009\n\n1.974\n\n1.714\n\n1.988\n\n2.18\n\n2.018\n\n1.747\n\n1.806\n\n2.114\n\n1.435\n\n2.133\n\n1.875\n\n2.038\n\n2.143\n\n2.365\n\n1.843\n\n1.907\n\n1.742\n\n1.761\n\n1.842\n\n2.765\n\n2.793\n\n2.13\n\n2.651\n\n2.815\n\n2.404\n\n2.431\n\n2.819\n\n2.346\n\n2.822\n\n2.148\n\n2.341\n\n2.4\n\n1.974\n\n2.559\n\n2.166\n\n2.289\n\n3.401\n\n1.984\n\n3.439\n\n2.161\n\n2.374\n\n2.086\n\n2.156\n\n2.021\n\n1.091\n\n0.952\n\n1.411\n\n0.912\n\n2.415\n\n1.425\n\n1.282\n\n2.318\n\n1.243\n\n1.766\n\n1.213\n\n1.572\n\n1.51\n\n1.283\n\n1.306\n\n1.012\n\n0.98\n\n0.858\n\n1.274\n\n0.939\n\n0.944\n\n2.054\n\n2.099\n\n1.738\n\n3.951\n\n3.013\n\n2.642\n\n2.81\n\n2.556\n\n2.611\n\n2.552\n\n2.186\n\n1.125\n\n2.177\n\n2.909\n\n2.832\n\n2.726\n\n2.75\n\n3.003\n\n3.353\n\n2.445\n\n2.143\n\n3.081\n\n3.052\n\n1.145\n\n1.128\n\n1.115\n\n0.925\n\n0.776\n\n1.761\n\n1.948\n\n2.414\n\n1.993\n\n2.794\n\n1.757\n\n2.35\n\n3.239\n\n2.205\n\n2.312\n\n1.834\n\n2.381\n\n2.182\n\n3.138\n\n2.394\n\n2.421\n\n2.118\n\n2.58\n\n1.875\n\n1.968\n\n1.709\n\n2.21\n\n1.866\n\n2.383\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}, {"color": 0.4309945274786366, "id": "", "name": "cube73_cluster1", "size": 6, "tooltip": "\u003ch2\u003eCluster Details \u003cspan style=\"font-size:0.7em\"\u003e(node id: cube73_cluster1)\u003c/span\u003e\u003c/h2\u003e\n\n\u003chr\u003e\u003cbr/\u003e\n\n\u003ch3\u003eMember Distribution\u003c/h3\u003e  \n\n\u003cdiv id=\"histogram\"\u003e\n\u003c!-- Render histogram --\u003e\n\n\n    \u003cdiv class=\"bin\" style=\"height:2.0px; background:rgb(70, 18, 100)\"\u003e\n        \u003cdiv\u003e0.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:43.0px; background:rgb(68, 51, 125)\"\u003e\n        \u003cdiv\u003e12.5%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(58, 80, 138)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(46, 107, 141)\"\u003e\n        \u003cdiv\u003e28.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:34.0px; background:rgb(36, 131, 141)\"\u003e\n        \u003cdiv\u003e9.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:100.0px; background:rgb(33, 155, 136)\"\u003e\n        \u003cdiv\u003e28.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:9.0px; background:rgb(51, 178, 121)\"\u003e\n        \u003cdiv\u003e2.6%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:1.0px; background:rgb(94, 199, 96)\"\u003e\n        \u003cdiv\u003e0.0%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:2.0px; background:rgb(155, 215, 59)\"\u003e\n        \u003cdiv\u003e0.7%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\n    \u003cdiv class=\"bin\" style=\"height:20.0px; background:rgb(220, 226, 37)\"\u003e\n        \u003cdiv\u003e5.9%\u003c/div\u003e\n    \u003c/div\u003e     \n  \n\n\u003c/div\u003e\n\n\u003cbr\u003e\u003cbr\u003e\n\n\u003c!-- Projection Statistics --\u003e\n\n\n\n\u003c!-- Cluster Statistics --\u003e\n\n    \u003chr\u003e\u003cbr/\u003e\n\n    \u003c!-- \u003ch3\u003eCluster Statistics\u003c/h3\u003e --\u003e\n\n    \n\n    \n\n\n    \u003ch3\u003eSize\u003c/h3\u003e\n        \u003cp\u003e152\u003c/p\u003e\n\n\n\n\n\n\u003c!-- Membership information --\u003e\n\n\n\n\u003chr\u003e \u003cbr/\u003e\n\n\u003ch3\u003eMembers\u003c/h3\u003e\n\n2.476\n\n0.89\n\n0.847\n\n0.85\n\n1.915\n\n1.543\n\n3.118\n\n2.58\n\n2.64\n\n4.075\n\n4.544\n\n3.181\n\n2.4\n\n2.901\n\n2.697\n\n2.308\n\n2.042\n\n2.392\n\n2.705\n\n2.228\n\n1.56\n\n1.258\n\n3.512\n\n2.202\n\n2.879\n\n2.117\n\n1.921\n\n1.805\n\n1.525\n\n1.173\n\n2.587\n\n1.899\n\n2.069\n\n1.86\n\n1.854\n\n2.028\n\n3.024\n\n2.899\n\n2.426\n\n1.873\n\n2.352\n\n4.767\n\n2.068\n\n1.792\n\n2.285\n\n2.524\n\n3.644\n\n3.814\n\n2.31\n\n2.293\n\n2.043\n\n3.151\n\n3.411\n\n2.58\n\n2.476\n\n2.198\n\n1.714\n\n1.647\n\n1.918\n\n1.847\n\n2.051\n\n2.154\n\n1.601\n\n2.086\n\n1.738\n\n1.753\n\n1.814\n\n2.379\n\n2.188\n\n1.969\n\n2.182\n\n1.666\n\n1.96\n\n1.46\n\n1.908\n\n2.049\n\n1.946\n\n2.131\n\n1.859\n\n1.149\n\n1.898\n\n1.919\n\n2.37\n\n2.29\n\n3.822\n\n3.798\n\n2.666\n\n3.608\n\n2.779\n\n3.838\n\n3.325\n\n1.401\n\n1.619\n\n2.184\n\n2.42\n\n2.954\n\n2.854\n\n2.194\n\n2.481\n\n2.449\n\n2.118\n\n2.239\n\n1.871\n\n2.541\n\n1.354\n\n1.977\n\n2.286\n\n1.818\n\n1.831\n\n2.063\n\n1.802\n\n1.91\n\n1.987\n\n1.703\n\n1.823\n\n1.759\n\n2.228\n\n2.114\n\n3.426\n\n2.797\n\n3.319\n\n2.61\n\n1.86\n\n2.219\n\n1.8\n\n2.075\n\n3.047\n\n2.481\n\n1.918\n\n2.56\n\n3.207\n\n2.264\n\n1.96\n\n2.176\n\n2.134\n\n2.264\n\n1.605\n\n1.234\n\n1.149\n\n1.288\n\n1.491\n\n1.154\n\n5.00001\n\n2.091\n\n2.017\n\n2.431\n\n3.13\n\n2.082\n\n2.295\n\n2.142\n\n2.053\n\n2.252\n\n\n\n\u003cbr\u003e\u003cbr\u003e\n\u003chr\u003e\u003cbr\u003e", "type": "circle"}]}' style="display:none"></div>
+  <div id="json_colorscale" data-colorscale='[[0.0, "rgb(68, 1, 84)"], [0.1, "rgb(72, 35, 116)"], [0.2, "rgb(64, 67, 135)"], [0.3, "rgb(52, 94, 141)"], [0.4, "rgb(41, 120, 142)"], [0.5, "rgb(32, 144, 140)"], [0.6, "rgb(34, 167, 132)"], [0.7, "rgb(68, 190, 112)"], [0.8, "rgb(121, 209, 81)"], [0.9, "rgb(189, 222, 38)"], [1.0, "rgb(253, 231, 36)"]]'
+  style="display:none"></div>
+
+  <div id="canvas">
+      <!-- Graph will go in here -->
+  </div>
+
+  <!-- Seperate canvas and panes so we can overlay elements -->
+  <div id="panes">
+    <img id="logo" src="https://i.imgur.com/bxux6WA.png">
+    
+<div id="toolbar">
+    <div id="tooltip_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="tooltip_tag">[+]</small></a> 
+        Cluster Details  
+        </h3>
+    </div>  
+    
+    <div id="meta_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="meta_tag">[+]</small></a> 
+        Mapper Summary 
+        </h3> 
+    </div>
+
+    <div id="help_control" class="tool_item">
+        <h3>
+        <a href="#"><small id="helptip_tag">[+]</small></a>
+        Help
+        </h3>
+    </div>
+
+</div>
+
+    <div id="header">
+      <noscript><b>Requires JavaScript (d3.js) for visualizations</b></noscript>
+      <h1> California Housing Dataset </h1>
+    </div>
+
+    <!-- Panes for each of the tips -->
+    <div id="tooltip">
+      <div id="tooltip_content" class="pane_content">
+        Hover over a node to see attributes about it.
+      </div>
+    </div>
+
+    <div id="helptip">
+        <div id="helptip_content" class="pane_content">
+            <!-- Help pane. 
+    TODO: Add more information here.  -->
+
+<ul>
+<li>Double click on a node to center graph at that node.</li>
+</ul>
+
+<table>
+    <tr>
+        <th>Key</th>
+        <th><small>Action</small></th>
+    </tr>
+
+    <tr>
+        <td>s</td>
+        <td><small>Nodes glow :D</small></td>
+    </tr>
+
+    <tr>
+        <td>c</td>
+        <td><small>remove glow</small></td>
+    </tr>
+
+    <tr>
+        <td>p</td>
+        <td><small>Print mode - white backgrounds</small></td>
+    </tr>
+
+    <tr>
+        <td>d</td>
+        <td><small>Display mode - black backgrounds</small></td>
+    </tr>
+
+    <tr>
+        <td>z</td>
+        <td><small>Turn off gravity</small></td>
+    </tr>
+
+    <tr>
+        <td>m</td>
+        <td><small>Spacious layout</small></td>
+    </tr>
+
+    <tr>
+        <td>e</td>
+        <td><small>Tight layout</small></td>
+    </tr>
+
+</table> 
+        </div>
+      </div>
+
+    <div id="meta">
+      <div id="meta_content" class="pane_content">
+        <h2>Mapper Summary</h2>
+
+<hr><br>
+
+
+    
+        <h3>projection </h3> <p> l2norm</p>
+    
+        <h3>n_cubes </h3> <p> 15</p>
+    
+        <h3>perc_overlap </h3> <p> 0.4</p>
+    
+        <h3>clusterer </h3> <p> KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,<br>       n_clusters=2, n_init=10, n_jobs=None, precompute_distances='auto',<br>       random_state=1618033, tol=0.0001, verbose=0)</p>
+    
+        <h3>scaler </h3> <p> MinMaxScaler(copy=True, feature_range=(0, 1))</p>
+    
+
+
+<h3>Nodes</h3><p> 128 </p>
+
+<h3>Edges</h3><p> 288 </p>
+
+<h3>Total Samples</h3><p> 42000</p>
+
+<h3>Unique Samples</h3><p> 20637</p>
+
+<hr><br/>
+
+<h3>Node Distribution</h3>  
+
+<div id="histogram">
+<!-- Render histogram -->
+
+
+    <div class="bin" style="height:2.0px; background:rgb(70, 18, 100)">
+        <div>0.8%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:4.0px; background:rgb(68, 51, 125)">
+        <div>1.6%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:6.0px; background:rgb(58, 80, 138)">
+        <div>2.3%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:12.0px; background:rgb(46, 107, 141)">
+        <div>4.7%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:55.0px; background:rgb(36, 131, 141)">
+        <div>21.9%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:100.0px; background:rgb(33, 155, 136)">
+        <div>39.8%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:45.0px; background:rgb(51, 178, 121)">
+        <div>18.0%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:14.0px; background:rgb(94, 199, 96)">
+        <div>5.5%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:6.0px; background:rgb(155, 215, 59)">
+        <div>2.3%</div>
+    </div>     
+  
+
+
+    <div class="bin" style="height:8.0px; background:rgb(220, 226, 37)">
+        <div>3.1%</div>
+    </div>     
+  
+
+</div>
+
+<br><br>
+
+
+<hr><br> 
+      </div>
+    </div>
+    
+  </div>
+
+  <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.5.5/d3.min.js"></script>
+
+  <script>// Height and width settings
+var canvas_height = window.innerHeight - 5;
+document.getElementById("canvas").style.height = canvas_height + "px";
+var width = document.getElementById("canvas").offsetWidth;
+var height = document.getElementById("canvas").offsetHeight;
+var w = width;
+var h = height;
+var padding = 40;
+
+var focus_node = null, highlight_node = null;
+var text_center = false;
+var outline = false;
+
+// Size for zooming
+var size = d3.scale.pow().exponent(1)
+           .domain([1,100])
+           .range([8,24]);
+
+// Variety of variable inits
+var highlight_color = "blue";
+var highlight_trans = 0.1;
+var default_node_color = "#ccc";
+var default_node_color = "rgba(160,160,160, 0.5)";
+var default_link_color = "rgba(160,160,160, 0.5)";
+var nominal_base_node_size = 8;
+var nominal_text_size = 15;
+var max_text_size = 24;
+var nominal_stroke = 1.0;
+var max_stroke = 4.5;
+var max_base_node_size = 36;
+var min_zoom = 0.1;
+var max_zoom = 7;
+var zoom = d3.behavior.zoom().scaleExtent([min_zoom,max_zoom]);
+
+
+var tocolor = "fill";
+var towhite = "stroke";
+if (outline) {
+  tocolor = "stroke";
+  towhite = "fill";
+}
+
+
+// We draw the graph in SVG
+var svg = d3.select("#canvas").append("svg")
+          .attr("width", width)
+          .attr("height", height);
+
+svg.style("cursor","move");
+var g = svg.append("g");
+
+/**
+ * Side panes
+ * 
+ * 
+ * 
+ * 
+ */
+
+// Show/Hide Functionality
+var toggle_pane = function(content, content_id, tag){
+  var active = content.active ? false : true;
+
+  if (active){
+    content_id.style("display", "unset");
+    tag.textContent = "[-]";
+  } else{
+    content_id.style("display", "none");
+    tag.textContent = "[+]";
+  }
+
+  // TODO: This is probably not the best way to find the correct height.
+  var h = canvas_height - content.offsetTop - padding;
+  content_id.style("height", h + "px")
+
+  content.active = active;
+}
+
+d3.select("#tooltip_control").on("click", function() {
+  toggle_pane(tooltip_content, 
+              d3.select("#tooltip_content"), 
+              d3.select("#tooltip_tag")[0][0]);
+
+});
+
+d3.select("#meta_control").on("click", function() {
+  toggle_pane(meta_content, 
+              d3.select("#meta_content"),
+              d3.select("#meta_tag")[0][0])
+
+});
+
+d3.select("#help_control").on("click", function() {
+  toggle_pane(helptip_content, 
+              d3.select("#helptip_content"),
+              d3.select("#helptip_tag")[0][0])
+});
+
+
+
+/**
+ * 
+ * Set up color scale
+ * 
+ * 
+ */
+
+var colorscale = JSON.parse(document.getElementById("json_colorscale").dataset.colorscale);
+var domain = colorscale.map((x)=>x[0])
+var palette = colorscale.map((x)=>x[1])
+
+var color = d3.scale.linear()
+  .domain(domain)
+  .range(palette);
+
+
+/**
+ *  Graph setup 
+ * 
+ * 
+ */
+
+var graph = JSON.parse(document.getElementById("json_graph").dataset.graph);
+
+              
+// Force settings
+var force = d3.layout.force()
+            .linkDistance(5)
+            .gravity(0.2)
+            .charge(-1200)
+            .size([w,h]);
+
+force
+  .nodes(graph.nodes)
+  .links(graph.links)
+  .start();
+
+var link = g.selectAll(".link")
+            .data(graph.links)
+            .enter().append("line")
+              .attr("class", "link")
+              .style("stroke-width", function(d) { return d.w * nominal_stroke; })
+              .style("stroke-width", function(d) { return d.w * nominal_stroke; })
+
+
+var node = g.selectAll(".node")
+            .data(graph.nodes)
+            .enter().append("g")
+              .attr("class", "node")
+              .call(force.drag);
+
+// Double clicking on a node will center on it.
+node.on("dblclick.zoom", function(d) { d3.event.stopPropagation();
+  var dcx = (window.innerWidth/2-d.x*zoom.scale());
+  var dcy = (window.innerHeight/2-d.y*zoom.scale());
+  zoom.translate([dcx,dcy]);
+  g.attr("transform", "translate("+ dcx + "," + dcy  + ")scale(" + zoom.scale() + ")");
+});
+
+
+
+
+// Drop-shadow Filter
+var svg = d3.select("svg");
+var defs = svg.append("defs");
+var dropShadowFilter = defs.append('svg:filter')
+  .attr('id', 'drop-shadow')
+  .attr('filterUnits', "userSpaceOnUse")
+  .attr('width', '250%')
+  .attr('height', '250%');
+dropShadowFilter.append('svg:feGaussianBlur')
+  .attr('in', 'SourceGraphic')
+  .attr('stdDeviation', 12)
+  .attr('result', 'blur-out');
+dropShadowFilter.append('svg:feColorMatrix')
+  .attr('in', 'blur-out')
+  .attr('type', 'hueRotate')
+  .attr('values', 0)
+  .attr('result', 'color-out');
+dropShadowFilter.append('svg:feOffset')
+  .attr('in', 'color-out')
+  .attr('dx', 0)
+  .attr('dy', 0)
+  .attr('result', 'the-shadow');
+dropShadowFilter.append('svg:feComponentTransfer')
+  .attr('type', 'linear')
+  .attr('slope', 0.2)
+  .attr('result', 'shadow-opacity');
+dropShadowFilter.append('svg:feBlend')
+  .attr('in', 'SourceGraphic')
+  .attr('in2', 'the-shadow')
+  .attr('mode', 'normal');
+
+// Draw circles
+var circle = node.append("path")
+  .attr("d", d3.svg.symbol()
+    .size(function(d) { return d.size * 50; })
+    .type(function(d) { return d.type; }))
+  .attr("class", "circle")
+  .style(tocolor, function(d) {
+    console.log("Node color:", d.color);
+    console.log("becomes color ", color(d.color));
+    return color(d.color);
+  });
+//.style("filter", "url(#drop-shadow)");
+
+
+// Format all text 
+var text = g.selectAll(".text")
+  .data(graph.nodes)
+  .enter().append("text")
+    .attr("dy", ".35em")
+    .style("font-family", "Roboto")
+    .style("font-weight", "400")
+    .style("color", "#2C3E50")
+    .style("font-size", nominal_text_size + "px");
+
+
+
+if (text_center) {
+  text.text(function(d) { return d.id; })
+    .style("text-anchor", "middle");
+} else {
+  text.attr("dx", function(d) {return (size(d.size)||nominal_base_node_size);})
+    .text(function(d) { return '\u2002'+d.id; });
+}
+
+
+/**
+ * Mouse Interactivity
+ * 
+ * 
+ * 
+ * 
+ * 
+ */
+
+node.on("mouseover", function(d) {
+  // Change node details
+  set_highlight(d);
+  d3.select("#tooltip_content").html(d.tooltip + "<br/>");
+}).on("mousedown", function(d) {
+  // TODO: This seems to only stop the one particular node from moving?
+
+  d3.event.stopPropagation();
+  focus_node = d;
+  if (highlight_node === null) {
+    set_highlight(d)
+  }
+}).on("mouseout", function(d) {
+  exit_highlight();
+});
+
+d3.select(window).on("mouseup", function() {
+  if (focus_node!==null){
+    focus_node = null;
+  }
+  if (highlight_node === null) {
+    exit_highlight();
+  }
+});
+
+// Node highlighting logic
+function exit_highlight(){
+  highlight_node = null;
+  if (focus_node===null){
+    svg.style("cursor","move");
+  }
+}
+
+function set_highlight(d){
+  svg.style("cursor","pointer");
+  if (focus_node!==null) d = focus_node;
+}
+
+
+// Zoom logic
+zoom.on("zoom", function() {
+  var stroke = nominal_stroke;
+  var base_radius = nominal_base_node_size;
+  if (nominal_base_node_size*zoom.scale()>max_base_node_size) {
+    base_radius = max_base_node_size/zoom.scale();}
+  circle.attr("d", d3.svg.symbol()
+    .size(function(d) { return d.size * 50; })
+    .type(function(d) { return d.type; }))
+  if (!text_center) text.attr("dx", function(d) {
+    return (size(d.size)*base_radius/nominal_base_node_size||base_radius); });
+
+  var text_size = nominal_text_size;
+  if (nominal_text_size*zoom.scale()>max_text_size) {
+    text_size = max_text_size/zoom.scale(); }
+  text.style("font-size",text_size + "px");
+
+  g.attr("transform", "translate(" + d3.event.translate + ")scale(" + d3.event.scale + ")");
+});
+
+svg.call(zoom);
+resize();
+d3.select(window).on("resize", resize);
+
+// Animation per tick
+force.on("tick", function() {
+  node.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
+  text.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; });
+  link.attr("x1", function(d) { return d.source.x; })
+    .attr("y1", function(d) { return d.source.y; })
+    .attr("x2", function(d) { return d.target.x; })
+    .attr("y2", function(d) { return d.target.y; });
+  node.attr("cx", function(d) { return d.x; })
+    .attr("cy", function(d) { return d.y; });
+});
+
+
+
+// Resizing window and redraws
+function resize() {
+  var width = window.innerWidth, height = window.innerHeight;
+  var width = document.getElementById("canvas").offsetWidth;
+  var height = document.getElementById("canvas").offsetHeight;
+  svg.attr("width", width).attr("height", height);
+
+  force.size([force.size()[0]+(width-w)/zoom.scale(),
+              force.size()[1]+(height-h)/zoom.scale()]).resume();
+  w = width;
+  h = height;
+}
+
+
+function isNumber(n) {
+  return !isNaN(parseFloat(n)) && isFinite(n);
+}
+
+// Key press events
+window.addEventListener("keydown", function (event) {
+if (event.defaultPrevented) {
+  return; // Do nothing if the event was already processed
+}
+
+
+switch (event.key) {
+  case "f":
+    console.log("Freeze graph")
+    break;
+  case "s":
+    // Do something for "s" key press.
+    node.style("filter", "url(#drop-shadow)");
+    break;
+  case "c":
+    // Do something for "s" key press.
+    node.style("filter", null);
+    break;
+  case "p":
+    // Turn to print mode, white backgrounds
+    d3.select("body").attr('id', null).attr('id', "print")
+    break;
+  case "d":
+    // Do something for "d" key press.
+    d3.select("body").attr('id', null).attr('id', "display")
+    break;
+  case "z":
+    force.gravity(0.0)
+         .charge(0.0);
+    resize();
+    break
+  case "m":
+    force.gravity(0.07)
+         .charge(-1);
+    resize();
+    break
+  case "e":
+    force.gravity(0.4)
+         .charge(-600);
+
+    resize();
+    break
+  default:
+    return; // Quit when this doesn't handle the key event.
+}
+// Cancel the default action to avoid it being handled twice
+event.preventDefault();
+}, true);
+</script>
+</body>
+
+</html>
\ No newline at end of file
-- 
GitLab