clustream.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Importing Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "from time import time\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn import metrics\n",
    "from sklearn.cluster import KMeans\n",
    "from sklearn.datasets import load_digits\n",
    "from sklearn.preprocessing import scale\n",
    "from scipy import stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Loading digits data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(42)\n",
    "\n",
    "digits = load_digits()  #loading digits dataset\n",
    "data = scale(digits.data)  #scaling the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Extracting values from data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Digits: 10\n",
      "Number of Samples: 1797\n",
      "Number of features: 64\n"
     ]
    }
   ],
   "source": [
    "data =  np.asmatrix(data)  #converting data into a numpy matrix\n",
    "\n",
    "np.random.shuffle(data)  #shuffling the data randomly\n",
    "\n",
    "n_rows, n_features = data.shape  #Getting the number of samples and features from data\n",
    "n_digits = len(np.unique(digits.target))  #counting number of unique digits target\n",
    "labels = digits.target  #assigning the target\n",
    "\n",
    "print(\"Number of Digits:\",n_digits)\n",
    "print(\"Number of Samples:\",n_rows)\n",
    "print(\"Number of features:\",n_features)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initialising clusters with kmeans algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "KMeans(algorithm='auto', copy_x=True, init='k-means++', max_iter=300,\n",
       "       n_clusters=10, n_init=10, n_jobs=None, precompute_distances='auto',\n",
       "       random_state=None, tol=0.0001, verbose=0)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Fitting the data to kmeans algorithm\n",
    "\n",
    "kmeans = KMeans(init='k-means++', n_clusters=n_digits, n_init=10)\n",
    "kmeans.fit(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating a starter data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "InitNumber = 100  #number is chosen as per computational complexity of kmeans\n",
    "\n",
    "q = 20 #number of micro-clusters\n",
    "\n",
    "initial_data = data[0:InitNumber,:]  #creating a subset of dataset of 100 samples as starter dataset\n",
    "stream_data = data[InitNumber:len(data),:]  #The rest of the data is taken as data which is to be streamed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[ 0.        , -0.33501649, -1.09493684, ...,  1.22664392,\n",
       "          0.71700059, -0.19600752],\n",
       "        [ 0.        , -0.33501649,  1.21914597, ..., -0.97712664,\n",
       "         -0.5056698 , -0.19600752],\n",
       "        [ 0.        , -0.33501649,  0.58803248, ...,  0.20951905,\n",
       "         -0.5056698 , -0.19600752],\n",
       "        ...,\n",
       "        [ 0.        , -0.33501649, -1.09493684, ..., -0.29904339,\n",
       "         -0.5056698 , -0.19600752],\n",
       "        [ 0.        , -0.33501649, -0.88456568, ..., -1.14664746,\n",
       "         -0.5056698 , -0.19600752],\n",
       "        [ 0.        , -0.33501649, -0.46382335, ..., -1.14664746,\n",
       "         -0.5056698 , -0.19600752]])"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initial_data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Assigning initial cluster centers "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Assigning the initial clusters using kmeans\n",
    "\n",
    "kmeans = KMeans(init='k-means++', n_clusters=q).fit(initial_data)\n",
    "initial_clusters = kmeans.cluster_centers_"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Creating micro-clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center> Contents of a cluster tuple </center>"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/yesha/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:17: DeprecationWarning: elementwise comparison failed; this will raise an error in the future.\n"
     ]
    }
   ],
   "source": [
    "micro_clusters = [None]*q\n",
    "\n",
    "for i in range(0,len(initial_data)):\n",
    "    \n",
    "    starter_point = np.array(initial_data[i])  #Taking a data value from the dataset\n",
    "    euc_dist = [ np.linalg.norm(starter_point - cluster) for cluster in initial_clusters ]  #Calculating the euclidean distance from data point to cluster centers\n",
    "    cluster_id = np.argmin(euc_dist)  #getting minimum euclidean distance cluster\n",
    "    \n",
    "    CF2x = np.square(starter_point)  #square of data values\n",
    "    CF1x = starter_point  #data values\n",
    "    CF2t = np.square(i)  #square of time stamp\n",
    "    CF1t = i  #time stamp\n",
    "   \n",
    "    cluster_tuple = np.array([CF2x,CF1x,CF2t,CF1t, 1])  #Adding the values to make a cluster tuple\n",
    "    \n",
    "    if (micro_clusters[cluster_id] == None):  # If cluster tuple does not belong to any micro-cluster\n",
    "        micro_clusters[cluster_id] = cluster_tuple  #Add to a micro cluster\n",
    "    else:\n",
    "        micro_clusters[cluster_id] = micro_clusters[cluster_id] + cluster_tuple  #If already belongs, add to the existing tuple"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print (micro_clusters)  #Displaying the micro clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function for Sum of Squared Distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculating the squared distance of data points from the cluster centers\n",
    "\n",
    "def calcSSQ(points, centroids, horizon):\n",
    "    SSQ = 0\n",
    "    for point in points[(-1*horizon):]:\n",
    "        euc_dist = [ np.linalg.norm(point - cluster) for cluster in initial_clusters ]\n",
    "        SSQ += np.square(min(euc_dist))\n",
    "    print (\"SSQ: \" + str(SSQ))\n",
    "    \n",
    "    return SSQ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function for Root Mean Square Deviation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Calculates the rmse deviation between square of arrival times and sum of squared arrival times\n",
    "def RMSE(micro_clusters,cluster_id,n):\n",
    "    squared_sum = np.square(micro_clusters[cluster_id][1])\n",
    "    sum_of_squared = micro_clusters[cluster_id][0]\n",
    "\n",
    "    RMSD = np.sqrt(np.abs(sum_of_squared - (squared_sum / n)))\n",
    "                \n",
    "    return RMSD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function for Finding Oldest Updated Cluster"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center> Formulae for mean timestamp and standard deviation timestamp </center>"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Finding relevance timestamp as time of arrival of (2*nth) percentile of points in a cluster\n",
    "\n",
    "def oldest_updated_cluster(mean_timestamp,Z,standard_deviation_timestamp):\n",
    "    relevance_stamp = mean_timestamp + Z * standard_deviation_timestamp\n",
    "        \n",
    "    least_recent_cluster = np.argmin(relevance_stamp)  #Taking minimum to find the cluster which was least recently updated\n",
    "    \n",
    "    return relevance_stamp[least_recent_cluster],least_recent_cluster;"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function for Merging two clusters"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>Procedure for merging</center>"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Function to merge two micro clusters which are closest to one another\n",
    "\n",
    "def merge_cluster(micro_clusters,Xik,timestep):\n",
    "    minA_id = -1  #Assigning initial default value\n",
    "    minB_id = -1\n",
    "    min_dist = float(\"inf\")\n",
    "    for a in range (0, len(micro_clusters)):\n",
    "        for b in range (a + 1, len(micro_clusters)):\n",
    "            \n",
    "            #Calculating distance between two clusters\n",
    "            \n",
    "            d = np.linalg.norm((micro_clusters[b][1] / micro_clusters[b][4]) - \\\n",
    "                               (micro_clusters[a][1] / micro_clusters[a][4]))\n",
    "            \n",
    "            #Setting the id values of clusters\n",
    "            if d < min_dist:\n",
    "                minA_id = a\n",
    "                minB_id = b\n",
    "                min_dist = d\n",
    "            \n",
    "    micro_clusters[minA_id] = micro_clusters[minA_id] + micro_clusters[minB_id]  #Merging two clusters\n",
    "\n",
    "    micro_clusters[minB_id] = np.array([np.square(Xik), Xik, np.square(timestep), timestep, 1])  #Creating a new cluster\n",
    "    print (\"merged cluster\")\n",
    "     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The clustream algorithm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def CluStream(record, timestep, micro_clusters, t = 2, r = 2, m = 10, delta = 10):\n",
    "    \n",
    "    Xik = np.array(record)  #Incoming data points\n",
    "   \n",
    "    euc_dist = [ np.linalg.norm(Xik - (cluster[1] / cluster[4])) for cluster in micro_clusters ]  #Distance between the incoming data points and cluster centers\n",
    "    \n",
    "    dist_sorted = np.argsort(euc_dist)  #Sorting the distances\n",
    "    \n",
    "    cluster = dist_sorted[0]  #Getting minimum value to assign datapoint to closest cluster\n",
    "    \n",
    "    i = 0\n",
    "    while True:\n",
    "        cluster_id = dist_sorted[i]\n",
    "        n = micro_clusters[cluster_id][4]\n",
    "\n",
    "        if n > 1:  #For defining maximal boundary only for clusters having more than 1 point\n",
    "            \n",
    "            S = RMSE(micro_clusters,cluster_id,n)  #Returns rms deviation\n",
    "            \n",
    "            maximal_boundary = np.linalg.norm(S) * t  #Defining maximum boundary as a factor of t of rms deviation\n",
    "            \n",
    "            if i > 0:\n",
    "                maximal_boundary *= r\n",
    "            break\n",
    "            \n",
    "        i += 1  #Finding the next closest cluster\n",
    "        \n",
    "    if dist[cluster] <= maximal_boundary: #If the data point falls within the maximum boundary of the micro-cluster\n",
    "        \n",
    "        #data point is added to the micro-cluster\n",
    "        micro_clusters[cluster] = micro_clusters[cluster] + \\\n",
    "                                    np.array([np.square(Xik), Xik, np.square(timestep), timestep, 1])\n",
    "        print (\"add to cluster\")\n",
    "    else: \n",
    "        \n",
    "        #create a new micro-cluster  \n",
    "        mean_timestamp = [ (cluster[3] / cluster[4]) for cluster in micro_clusters ]  #Calculating mean of time stamp\n",
    "        \n",
    "        #calculating standard deviation of timestamp\n",
    "        standard_deviation_timestamp = [ np.sqrt((cluster[2] / cluster[4]) - np.square((cluster[3] / cluster[4]))) \\\n",
    "                                         for cluster in micro_clusters ]   stamp\n",
    "        \n",
    "        #assinging (2*nth) percentile of data points of a micro-cluster to Z\n",
    "        Z = []\n",
    "        for i in range(0, len(micro_clusters)):\n",
    "            mc = m\n",
    "            if mc > micro_clusters[i][4]:\n",
    "                mc = micro_clusters[i][4]\n",
    "                \n",
    "            Z.append(m / (2 * micro_clusters[i][4]))\n",
    "        \n",
    "        Z = np.array(Z)\n",
    "        \n",
    "        #Returns the relevance stamp and the least recent cluster\n",
    "        rs,lrc = oldest_updated_cluster(mean_timestamp,Z,standard_deviation_timestamp)  \n",
    "        \n",
    "        if rs < delta: #Checking whether relevance stamp is lesser than the threshold value defined\n",
    "            \n",
    "            micro_clusters[lrc] = np.array([np.square(Xik), Xik, np.square(timestep), timestep, 1])  #If value is less, delete the cluster and create a new cluster\n",
    "            print (\"eliminated cluster\")\n",
    "        \n",
    "        else: \n",
    "            #merge the two micro-clusters which are closest to one another\n",
    "            merge_cluster(micro_clusters,Xik,timestep)\n",
    "            \n",
    "        \n",
    "    return micro_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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     ]
    }
   ],
   "source": [
    "#Calculating the sum of squared distance for stream data and storing it in an array\n",
    "SSQ_kmeans = [] \n",
    "for i in range(0, len(stream_data)):\n",
    "    SSQ_kmeans.append(calcSSQ((stream_data[0:(i+1)]), micro_clusters,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "add to cluster\n",
      "SSQ: 33.235055919755624\n",
      "add to cluster\n",
      "SSQ: 65.41469003750629\n",
      "add to cluster\n",
      "SSQ: 98.07409462817985\n",
      "add to cluster\n",
      "SSQ: 125.47635398665182\n",
      "add to cluster\n",
      "SSQ: 174.9368159845415\n",
      "add to cluster\n",
      "SSQ: 204.39419627695835\n",
      "add to cluster\n",
      "SSQ: 221.7098585453962\n",
      "add to cluster\n",
      "SSQ: 266.6944596794203\n",
      "add to cluster\n",
      "SSQ: 288.3758177453871\n",
      "add to cluster\n",
      "SSQ: 375.06423002014856\n",
      "add to cluster\n",
      "SSQ: 426.04910310667054\n",
      "add to cluster\n",
      "SSQ: 436.6785748961303\n",
      "add to cluster\n",
      "SSQ: 460.2827162930868\n",
      "add to cluster\n",
      "SSQ: 480.5113870412699\n",
      "add to cluster\n",
      "SSQ: 499.5829069943776\n",
      "add to cluster\n",
      "SSQ: 520.9766566317869\n",
      "add to cluster\n",
      "SSQ: 564.2119435812895\n",
      "add to cluster\n",
      "SSQ: 653.2997567696912\n",
      "add to cluster\n",
      "SSQ: 678.1255246111414\n",
      "add to cluster\n",
      "SSQ: 732.159622942562\n",
      "add to cluster\n",
      "SSQ: 763.6916588720682\n",
      "add to cluster\n",
      "SSQ: 775.4005021461752\n",
      "add to cluster\n",
      "SSQ: 803.4312557298738\n",
      "add to cluster\n",
      "SSQ: 857.2595084550469\n",
      "add to cluster\n",
      "SSQ: 924.8310046928696\n",
      "add to cluster\n",
      "SSQ: 953.2951123297165\n",
      "add to cluster\n",
      "SSQ: 995.0876681783777\n",
      "add to cluster\n",
      "SSQ: 1016.4837194513141\n",
      "add to cluster\n",
      "SSQ: 1062.105722597381\n",
      "add to cluster\n",
      "SSQ: 1112.6596099164321\n",
      "add to cluster\n",
      "SSQ: 1209.926185784468\n",
      "add to cluster\n",
      "SSQ: 1255.3340397266834\n",
      "add to cluster\n",
      "SSQ: 1280.5014239485918\n",
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      "add to cluster\n",
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      "add to cluster\n",
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      "SSQ: 1565.27673372359\n",
      "add to cluster\n",
      "SSQ: 1612.90059201249\n",
      "add to cluster\n",
      "SSQ: 1637.9270616414394\n",
      "add to cluster\n",
      "SSQ: 1664.7093122999086\n",
      "add to cluster\n",
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      "add to cluster\n",
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      "add to cluster\n",
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      "SSQ: 1790.3452936176097\n",
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      "SSQ: 1818.5960449115282\n",
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      "SSQ: 1835.9113323445827\n",
      "add to cluster\n",
      "SSQ: 1861.5354878042012\n",
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      "SSQ: 1933.2247902465474\n",
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      "SSQ: 1960.278227263968\n",
      "add to cluster\n",
      "SSQ: 1975.3890352940166\n",
      "add to cluster\n",
      "SSQ: 2013.955036909434\n",
      "add to cluster\n",
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      "SSQ: 2981.763744730341\n",
      "add to cluster\n",
      "SSQ: 3054.2637959106332\n",
      "merged cluster\n",
      "SSQ: 3643.7266957560632\n",
      "add to cluster\n",
      "SSQ: 3702.6482018950132\n",
      "add to cluster\n",
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      "add to cluster\n",
      "SSQ: 3476.409611499535\n",
      "add to cluster\n",
      "SSQ: 3511.265577064933\n",
      "add to cluster\n",
      "SSQ: 3525.238986489892\n",
      "add to cluster\n",
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      "add to cluster\n",
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      "add to cluster\n",
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      "add to cluster\n",
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      "SSQ: 3489.088720826935\n",
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      "SSQ: 3498.7270415008616\n",
      "add to cluster\n",
      "SSQ: 3525.489194533703\n",
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      "SSQ: 3508.9181241426963\n",
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      "SSQ: 3484.965816886188\n",
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      "add to cluster\n",
      "SSQ: 3485.1969615102794\n",
      "add to cluster\n",
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      "SSQ: 3536.913135486507\n",
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      "SSQ: 3489.3575357069876\n",
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      "SSQ: 3486.982382977514\n",
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      "SSQ: 3516.3784380979864\n",
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      "SSQ: 3509.724090469564\n",
      "add to cluster\n",
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      "add to cluster\n",
      "SSQ: 3488.2966620850125\n",
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      "SSQ: 3488.8961608368795\n",
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      "SSQ: 3464.7677367852903\n",
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      "SSQ: 3460.145667221828\n",
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      "SSQ: 3630.132970865766\n",
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      "SSQ: 3647.583058112934\n",
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      "SSQ: 3579.2613795037723\n",
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      "SSQ: 3528.51554495293\n",
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      "SSQ: 3495.3442767015076\n",
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      "SSQ: 3486.167791156053\n",
      "add to cluster\n",
      "SSQ: 3441.097329505033\n",
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      "SSQ: 3417.4376605015304\n",
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      "SSQ: 3424.05117888073\n",
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      "SSQ: 3450.336346886346\n",
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      "SSQ: 3464.3701279106663\n",
      "add to cluster\n",
      "SSQ: 3501.9615656574247\n",
      "add to cluster\n",
      "SSQ: 3464.011489455889\n",
      "add to cluster\n",
      "SSQ: 3579.9805989955903\n",
      "add to cluster\n",
      "SSQ: 3583.1435544813116\n",
      "add to cluster\n",
      "SSQ: 3568.6548403218367\n",
      "add to cluster\n",
      "SSQ: 3575.339597152926\n",
      "add to cluster\n",
      "SSQ: 3585.8530217996636\n",
      "add to cluster\n",
      "SSQ: 3575.2804295267642\n",
      "add to cluster\n",
      "SSQ: 3571.277307666538\n",
      "add to cluster\n",
      "SSQ: 3559.2210505543726\n",
      "add to cluster\n",
      "SSQ: 3545.2199165517513\n",
      "add to cluster\n",
      "SSQ: 3578.4412054565105\n",
      "add to cluster\n",
      "SSQ: 3581.555631269009\n",
      "add to cluster\n",
      "SSQ: 3591.0165522438892\n",
      "add to cluster\n",
      "SSQ: 3623.782442349566\n",
      "add to cluster\n",
      "SSQ: 3618.776140865148\n",
      "add to cluster\n",
      "SSQ: 3645.267591053912\n",
      "add to cluster\n",
      "SSQ: 3380.6463872876507\n",
      "add to cluster\n",
      "SSQ: 3412.8683408795414\n",
      "add to cluster\n",
      "SSQ: 3458.695806383175\n",
      "add to cluster\n",
      "SSQ: 3461.241732454635\n",
      "add to cluster\n",
      "SSQ: 3464.9270083687757\n",
      "add to cluster\n",
      "SSQ: 3482.60335624123\n",
      "add to cluster\n",
      "SSQ: 3454.0702868428552\n",
      "add to cluster\n",
      "SSQ: 3462.897584774123\n",
      "add to cluster\n",
      "SSQ: 3469.351248978272\n",
      "add to cluster\n",
      "SSQ: 3429.4334548993543\n",
      "add to cluster\n",
      "SSQ: 3388.9580332971314\n",
      "add to cluster\n",
      "SSQ: 3383.4790341904036\n",
      "add to cluster\n",
      "SSQ: 3398.1803605920686\n",
      "add to cluster\n",
      "SSQ: 3369.3840264021464\n",
      "add to cluster\n",
      "SSQ: 3358.119293130517\n",
      "add to cluster\n",
      "SSQ: 3438.1329508901076\n",
      "add to cluster\n",
      "SSQ: 5389.544134453767\n",
      "add to cluster\n",
      "SSQ: 5389.5773045159685\n",
      "add to cluster\n",
      "SSQ: 5400.629654015329\n",
      "add to cluster\n",
      "SSQ: 5408.253098835896\n",
      "add to cluster\n",
      "SSQ: 5399.104043931928\n",
      "add to cluster\n",
      "SSQ: 5426.430593238226\n",
      "add to cluster\n",
      "SSQ: 5410.195216622577\n",
      "add to cluster\n",
      "SSQ: 5425.954070752654\n",
      "add to cluster\n",
      "SSQ: 5440.2445895443825\n",
      "add to cluster\n",
      "SSQ: 5418.282898864193\n",
      "add to cluster\n",
      "SSQ: 5379.235822331988\n",
      "add to cluster\n",
      "SSQ: 5378.361106217927\n",
      "add to cluster\n",
      "SSQ: 5367.924454004383\n",
      "add to cluster\n",
      "SSQ: 5405.256347585755\n",
      "add to cluster\n",
      "SSQ: 5389.83316647847\n",
      "add to cluster\n",
      "SSQ: 5409.127585772787\n",
      "add to cluster\n",
      "SSQ: 5414.08017503769\n",
      "add to cluster\n",
      "SSQ: 5403.429627273526\n",
      "add to cluster\n",
      "SSQ: 5418.609682154684\n",
      "add to cluster\n",
      "SSQ: 5431.301545743519\n",
      "add to cluster\n",
      "SSQ: 5424.540750536674\n",
      "add to cluster\n",
      "SSQ: 5441.818999603286\n",
      "add to cluster\n",
      "SSQ: 5386.83736118713\n",
      "add to cluster\n",
      "SSQ: 5412.374779947492\n",
      "add to cluster\n",
      "SSQ: 5386.833275798661\n",
      "add to cluster\n",
      "SSQ: 5400.570531941557\n",
      "add to cluster\n",
      "SSQ: 5436.218196320127\n",
      "add to cluster\n",
      "SSQ: 5427.700665796967\n",
      "merged cluster\n",
      "SSQ: 7556.187062397406\n",
      "add to cluster\n",
      "SSQ: 7545.026719913721\n",
      "add to cluster\n",
      "SSQ: 7520.052842622838\n",
      "add to cluster\n",
      "SSQ: 7517.708278297241\n",
      "add to cluster\n",
      "SSQ: 7525.224958679965\n",
      "add to cluster\n",
      "SSQ: 7546.235142601846\n",
      "add to cluster\n",
      "SSQ: 7536.68723781284\n",
      "add to cluster\n",
      "SSQ: 7567.4930261416475\n",
      "add to cluster\n",
      "SSQ: 7589.701948702428\n",
      "add to cluster\n",
      "SSQ: 7584.470417454356\n",
      "add to cluster\n",
      "SSQ: 7587.4839835406965\n",
      "add to cluster\n",
      "SSQ: 7550.1908475420905\n",
      "add to cluster\n",
      "SSQ: 7533.423313224757\n",
      "add to cluster\n",
      "SSQ: 7515.017457831158\n",
      "add to cluster\n",
      "SSQ: 7522.654006965055\n",
      "add to cluster\n",
      "SSQ: 7512.469049470143\n",
      "add to cluster\n",
      "SSQ: 7518.188835936555\n",
      "add to cluster\n",
      "SSQ: 7558.146258766968\n",
      "add to cluster\n",
      "SSQ: 7572.400062000154\n",
      "add to cluster\n",
      "SSQ: 7957.525346274545\n",
      "add to cluster\n",
      "SSQ: 8014.260400423778\n",
      "add to cluster\n",
      "SSQ: 7995.9231299083085\n",
      "add to cluster\n",
      "SSQ: 8015.610624581838\n",
      "add to cluster\n",
      "SSQ: 7987.726351506473\n",
      "add to cluster\n",
      "SSQ: 7939.96158152132\n",
      "add to cluster\n",
      "SSQ: 7938.312446660805\n",
      "add to cluster\n",
      "SSQ: 7948.56336072242\n",
      "add to cluster\n",
      "SSQ: 7941.855278011942\n",
      "add to cluster\n",
      "SSQ: 7791.266123207717\n",
      "add to cluster\n",
      "SSQ: 7800.287292730939\n",
      "add to cluster\n",
      "SSQ: 7805.641744987079\n",
      "add to cluster\n",
      "SSQ: 7797.717889882804\n",
      "add to cluster\n",
      "SSQ: 7796.2106298407825\n",
      "add to cluster\n",
      "SSQ: 7809.078095843891\n",
      "add to cluster\n",
      "SSQ: 7823.13590659568\n",
      "add to cluster\n",
      "SSQ: 7812.422628558406\n",
      "add to cluster\n",
      "SSQ: 7828.001646385562\n",
      "add to cluster\n",
      "SSQ: 7810.119868173457\n",
      "add to cluster\n",
      "SSQ: 7818.413380481905\n",
      "add to cluster\n",
      "SSQ: 7784.632245218657\n",
      "add to cluster\n",
      "SSQ: 7803.912222871461\n",
      "add to cluster\n",
      "SSQ: 7711.39253435771\n",
      "add to cluster\n",
      "SSQ: 7732.734051509708\n",
      "add to cluster\n",
      "SSQ: 7737.288032510016\n",
      "add to cluster\n",
      "SSQ: 7719.438005257219\n",
      "add to cluster\n",
      "SSQ: 7701.296224706588\n",
      "add to cluster\n",
      "SSQ: 7695.107772629937\n",
      "add to cluster\n",
      "SSQ: 7719.49949850801\n",
      "add to cluster\n",
      "SSQ: 7724.308369811118\n",
      "add to cluster\n",
      "SSQ: 7744.848403603477\n",
      "add to cluster\n",
      "SSQ: 7695.674457717971\n",
      "add to cluster\n",
      "SSQ: 7703.923139958473\n",
      "add to cluster\n",
      "SSQ: 7678.195702306019\n",
      "add to cluster\n",
      "SSQ: 7647.182983583669\n",
      "add to cluster\n",
      "SSQ: 7666.53054745703\n",
      "add to cluster\n",
      "SSQ: 7650.152520064065\n",
      "add to cluster\n",
      "SSQ: 7659.469098372116\n",
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      "SSQ: 7638.246266357278\n",
      "add to cluster\n",
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      "SSQ: 7603.846059462736\n",
      "add to cluster\n",
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      "SSQ: 7620.455094672294\n",
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      "SSQ: 7620.712739982314\n",
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      "SSQ: 7655.435708139912\n",
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      "add to cluster\n",
      "SSQ: 7631.166052288531\n",
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      "SSQ: 7619.088417299917\n",
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      "SSQ: 7625.950713076853\n",
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      "SSQ: 7551.1943724653775\n",
      "add to cluster\n",
      "SSQ: 5591.173463811592\n",
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      "SSQ: 5563.706021703444\n",
      "add to cluster\n",
      "SSQ: 5564.382329697091\n",
      "add to cluster\n",
      "SSQ: 5550.979519375926\n",
      "add to cluster\n",
      "SSQ: 5549.7299459084725\n",
      "add to cluster\n",
      "SSQ: 5546.768394838391\n",
      "add to cluster\n",
      "SSQ: 5554.658713709162\n",
      "add to cluster\n",
      "SSQ: 5564.908526501875\n",
      "add to cluster\n",
      "SSQ: 5558.91290393411\n",
      "add to cluster\n",
      "SSQ: 5547.280920479878\n",
      "add to cluster\n",
      "SSQ: 5548.52231896524\n",
      "add to cluster\n",
      "SSQ: 5512.045875782837\n",
      "add to cluster\n",
      "SSQ: 5505.565526347686\n",
      "add to cluster\n",
      "SSQ: 5526.038671728393\n",
      "add to cluster\n",
      "SSQ: 5581.767606911731\n",
      "add to cluster\n",
      "SSQ: 5593.713186582305\n",
      "add to cluster\n",
      "SSQ: 5570.810640677746\n",
      "add to cluster\n",
      "SSQ: 5553.612017180489\n",
      "add to cluster\n",
      "SSQ: 5556.467034541986\n",
      "add to cluster\n",
      "SSQ: 5545.537147179489\n",
      "add to cluster\n",
      "SSQ: 5559.334982749687\n",
      "add to cluster\n",
      "SSQ: 5541.390350843402\n",
      "add to cluster\n",
      "SSQ: 5535.450759848377\n",
      "add to cluster\n",
      "SSQ: 5534.787912560186\n",
      "add to cluster\n",
      "SSQ: 5508.953931046685\n",
      "add to cluster\n",
      "SSQ: 5529.9917433802675\n",
      "add to cluster\n",
      "SSQ: 3446.9823805753704\n",
      "add to cluster\n",
      "SSQ: 3449.4497842539604\n",
      "add to cluster\n",
      "SSQ: 3470.545880733993\n",
      "add to cluster\n",
      "SSQ: 3446.8109555531437\n",
      "add to cluster\n",
      "SSQ: 3438.2043506655396\n",
      "add to cluster\n",
      "SSQ: 3416.6261588023744\n",
      "add to cluster\n",
      "SSQ: 3419.860820300723\n",
      "add to cluster\n",
      "SSQ: 3386.70403136212\n",
      "add to cluster\n",
      "SSQ: 3363.0486633982296\n",
      "add to cluster\n",
      "SSQ: 3355.9331844784638\n",
      "add to cluster\n",
      "SSQ: 3384.371206029015\n",
      "add to cluster\n",
      "SSQ: 3386.9775131048295\n",
      "add to cluster\n",
      "SSQ: 3417.1793254148415\n",
      "add to cluster\n",
      "SSQ: 3404.1708718346467\n",
      "add to cluster\n",
      "SSQ: 3387.956654514998\n",
      "add to cluster\n",
      "SSQ: 3410.9593303913366\n",
      "add to cluster\n",
      "SSQ: 3391.661040954313\n",
      "add to cluster\n",
      "SSQ: 3367.1396812766143\n",
      "add to cluster\n",
      "SSQ: 3379.794492432099\n",
      "add to cluster\n",
      "SSQ: 2986.6291198801414\n",
      "add to cluster\n",
      "SSQ: 2940.988876486683\n",
      "add to cluster\n",
      "SSQ: 2956.345144226577\n",
      "add to cluster\n",
      "SSQ: 2936.4219033475765\n",
      "add to cluster\n",
      "SSQ: 2994.7468825307847\n",
      "add to cluster\n",
      "SSQ: 2998.599972397347\n",
      "add to cluster\n",
      "SSQ: 2995.348058044067\n",
      "add to cluster\n",
      "SSQ: 2978.3215844401275\n",
      "add to cluster\n",
      "SSQ: 2990.495267800683\n",
      "add to cluster\n",
      "SSQ: 2977.1566015730364\n",
      "add to cluster\n",
      "SSQ: 3879.3472644580315\n",
      "add to cluster\n",
      "SSQ: 3850.7941188373297\n",
      "add to cluster\n",
      "SSQ: 3848.136897828708\n",
      "add to cluster\n",
      "SSQ: 3853.077680394204\n",
      "add to cluster\n",
      "SSQ: 3824.587460228111\n",
      "add to cluster\n",
      "SSQ: 3830.372365296737\n",
      "add to cluster\n",
      "SSQ: 3839.5309195934083\n",
      "add to cluster\n",
      "SSQ: 3833.5364447472375\n",
      "add to cluster\n",
      "SSQ: 3837.9498231049606\n",
      "add to cluster\n",
      "SSQ: 3864.0078690385503\n",
      "add to cluster\n",
      "SSQ: 3870.7570694397355\n",
      "add to cluster\n",
      "SSQ: 3883.0956217212442\n",
      "add to cluster\n",
      "SSQ: 3858.161724288551\n",
      "add to cluster\n",
      "SSQ: 3843.6881658189754\n",
      "add to cluster\n",
      "SSQ: 3858.9326420364246\n"
     ]
    }
   ],
   "source": [
    "#Micro-clusters are created and sum of squared distance corresponding to them are displayed\n",
    "SSQ = []\n",
    "for i in range(0, len(stream_data)):\n",
    "    micro_clusters = CluStream(stream_data[i], i, micro_clusters)\n",
    "    SSQ.append(calcSSQ((stream_data[0:(i+1)]), micro_clusters,100))"
   ]
  }
 ],
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