CustomerSegmentation.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "57dc244a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from kmodes.kprototypes import KPrototypes\n",
    "from kmodes.kmodes import KModes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "545eb66f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Marital status</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Settlement size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100000001</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>2</td>\n",
       "      <td>124670</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100000002</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>150773</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100000003</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>49</td>\n",
       "      <td>1</td>\n",
       "      <td>89210</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100000004</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>1</td>\n",
       "      <td>171565</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100000005</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>149031</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>100000006</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>144848</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>100000007</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>53</td>\n",
       "      <td>1</td>\n",
       "      <td>156495</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ID  Sex  Marital status  Age  Education  Income  Occupation  \\\n",
       "0  100000001    0               0   67          2  124670           1   \n",
       "1  100000002    1               1   22          1  150773           1   \n",
       "2  100000003    0               0   49          1   89210           0   \n",
       "3  100000004    0               0   45          1  171565           1   \n",
       "4  100000005    0               0   53          1  149031           1   \n",
       "5  100000006    0               0   35          1  144848           0   \n",
       "6  100000007    0               0   53          1  156495           1   \n",
       "\n",
       "   Settlement size  \n",
       "0                2  \n",
       "1                2  \n",
       "2                0  \n",
       "3                1  \n",
       "4                1  \n",
       "5                0  \n",
       "6                1  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"segmentation_data.csv\")\n",
    "df.head(7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "779b83e9",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Marital status</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Settlement size</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>100001996</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>47</td>\n",
       "      <td>1</td>\n",
       "      <td>123525</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>100001997</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>117744</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>100001998</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>86400</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>100001999</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>97968</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>100002000</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>68416</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID  Sex  Marital status  Age  Education  Income  Occupation  \\\n",
       "1995  100001996    1               0   47          1  123525           0   \n",
       "1996  100001997    1               1   27          1  117744           1   \n",
       "1997  100001998    0               0   31          0   86400           0   \n",
       "1998  100001999    1               1   24          1   97968           0   \n",
       "1999  100002000    0               0   25          0   68416           0   \n",
       "\n",
       "      Settlement size  \n",
       "1995                0  \n",
       "1996                0  \n",
       "1997                0  \n",
       "1998                0  \n",
       "1999                0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "d5dd6668",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ID                 0\n",
       "Sex                0\n",
       "Marital status     0\n",
       "Age                0\n",
       "Education          0\n",
       "Income             0\n",
       "Occupation         0\n",
       "Settlement size    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum() # Null veri yok"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e7a0a0b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>ID</th>\n",
       "      <th>Age</th>\n",
       "      <th>Income</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>100000001</td>\n",
       "      <td>67</td>\n",
       "      <td>124670</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>100000002</td>\n",
       "      <td>22</td>\n",
       "      <td>150773</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>100000003</td>\n",
       "      <td>49</td>\n",
       "      <td>89210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>100000004</td>\n",
       "      <td>45</td>\n",
       "      <td>171565</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100000005</td>\n",
       "      <td>53</td>\n",
       "      <td>149031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>100001996</td>\n",
       "      <td>47</td>\n",
       "      <td>123525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>100001997</td>\n",
       "      <td>27</td>\n",
       "      <td>117744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>100001998</td>\n",
       "      <td>31</td>\n",
       "      <td>86400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>100001999</td>\n",
       "      <td>24</td>\n",
       "      <td>97968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>100002000</td>\n",
       "      <td>25</td>\n",
       "      <td>68416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             ID  Age  Income\n",
       "0     100000001   67  124670\n",
       "1     100000002   22  150773\n",
       "2     100000003   49   89210\n",
       "3     100000004   45  171565\n",
       "4     100000005   53  149031\n",
       "...         ...  ...     ...\n",
       "1995  100001996   47  123525\n",
       "1996  100001997   27  117744\n",
       "1997  100001998   31   86400\n",
       "1998  100001999   24   97968\n",
       "1999  100002000   25   68416\n",
       "\n",
       "[2000 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_temp = df[[\"ID\",\"Age\",\"Income\"]] # Scale etmeden önce normal değerleri tutalım\n",
    "df_temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b04efe1e",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "scaler = MinMaxScaler() # Age ve Income scale ediyoruz çünkü kategorik(1,0 gibi) değil numerik veriler bunlar\n",
    "\n",
    "scaler.fit(df[[\"Age\"]])\n",
    "df[\"Age\"] = scaler.transform(df[[\"Age\"]])\n",
    "\n",
    "scaler.fit(df[[\"Income\"]])\n",
    "df[\"Income\"] = scaler.transform(df[[\"Income\"]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "29650edb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.drop([\"ID\"], axis =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1a68f0e8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sex</th>\n",
       "      <th>Marital status</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Settlement size</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
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       "      <td>0.844828</td>\n",
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       "      <td>1</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.068966</td>\n",
       "      <td>1</td>\n",
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       "      <td>1</td>\n",
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       "      <th>2</th>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.465517</td>\n",
       "      <td>1</td>\n",
       "      <td>0.496223</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.603448</td>\n",
       "      <td>1</td>\n",
       "      <td>0.413842</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1</td>\n",
       "      <td>0.320595</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.155172</td>\n",
       "      <td>1</td>\n",
       "      <td>0.299460</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.224138</td>\n",
       "      <td>0</td>\n",
       "      <td>0.184871</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1998</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0.103448</td>\n",
       "      <td>1</td>\n",
       "      <td>0.227162</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0.120690</td>\n",
       "      <td>0</td>\n",
       "      <td>0.119123</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2000 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Sex  Marital status       Age  Education    Income  Occupation  \\\n",
       "0       0               0  0.844828          2  0.324781           1   \n",
       "1       1               1  0.068966          1  0.420210           1   \n",
       "2       0               0  0.534483          1  0.195144           0   \n",
       "3       0               0  0.465517          1  0.496223           1   \n",
       "4       0               0  0.603448          1  0.413842           1   \n",
       "...   ...             ...       ...        ...       ...         ...   \n",
       "1995    1               0  0.500000          1  0.320595           0   \n",
       "1996    1               1  0.155172          1  0.299460           1   \n",
       "1997    0               0  0.224138          0  0.184871           0   \n",
       "1998    1               1  0.103448          1  0.227162           0   \n",
       "1999    0               0  0.120690          0  0.119123           0   \n",
       "\n",
       "      Settlement size  \n",
       "0                   2  \n",
       "1                   2  \n",
       "2                   0  \n",
       "3                   1  \n",
       "4                   1  \n",
       "...               ...  \n",
       "1995                0  \n",
       "1996                0  \n",
       "1997                0  \n",
       "1998                0  \n",
       "1999                0  \n",
       "\n",
       "[2000 rows x 7 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "93641d26",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Age ve Income sütununu tam sayıya çeviriyoruz\n",
    "mark_array = df.values\n",
    "\n",
    "mark_array[:, 2] = mark_array[:, 2].astype(float)\n",
    "mark_array[:, 4] = mark_array[:, 4].astype(float)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1eef33b7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Initialization method and algorithm are deterministic. Setting n_init to 1.\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 1, iteration: 1/20, moves: 771, ncost: 181.59146036881467\n",
      "Run: 1, iteration: 2/20, moves: 128, ncost: 180.71164299220976\n",
      "Run: 1, iteration: 3/20, moves: 40, ncost: 180.6158123831872\n",
      "Run: 1, iteration: 4/20, moves: 7, ncost: 180.60488062530553\n",
      "Run: 1, iteration: 5/20, moves: 1, ncost: 180.60280222889136\n",
      "Run: 1, iteration: 6/20, moves: 0, ncost: 180.60280222889136\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 2, iteration: 1/20, moves: 608, ncost: 186.6385189618243\n",
      "Run: 2, iteration: 2/20, moves: 115, ncost: 185.20802834691608\n",
      "Run: 2, iteration: 3/20, moves: 58, ncost: 184.92737967982578\n",
      "Run: 2, iteration: 4/20, moves: 34, ncost: 184.7767562317636\n",
      "Run: 2, iteration: 5/20, moves: 31, ncost: 184.71097389402647\n",
      "Run: 2, iteration: 6/20, moves: 20, ncost: 184.68641243410542\n",
      "Run: 2, iteration: 7/20, moves: 3, ncost: 184.6855277043062\n",
      "Run: 2, iteration: 8/20, moves: 1, ncost: 184.68536833630384\n",
      "Run: 2, iteration: 9/20, moves: 0, ncost: 184.68536833630384\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 3, iteration: 1/20, moves: 607, ncost: 171.97585449451879\n",
      "Run: 3, iteration: 2/20, moves: 252, ncost: 169.6222722464862\n",
      "Run: 3, iteration: 3/20, moves: 125, ncost: 169.0834301122802\n",
      "Run: 3, iteration: 4/20, moves: 46, ncost: 168.9642159920175\n",
      "Run: 3, iteration: 5/20, moves: 17, ncost: 168.94524679481347\n",
      "Run: 3, iteration: 6/20, moves: 7, ncost: 168.9423521123665\n",
      "Run: 3, iteration: 7/20, moves: 8, ncost: 168.93893940223933\n",
      "Run: 3, iteration: 8/20, moves: 3, ncost: 168.9380964577479\n",
      "Run: 3, iteration: 9/20, moves: 1, ncost: 168.9380120721376\n",
      "Run: 3, iteration: 10/20, moves: 0, ncost: 168.9380120721376\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 4, iteration: 1/20, moves: 698, ncost: 180.85575453782326\n",
      "Run: 4, iteration: 2/20, moves: 218, ncost: 179.39193056440092\n",
      "Run: 4, iteration: 3/20, moves: 80, ncost: 179.03932312650514\n",
      "Run: 4, iteration: 4/20, moves: 53, ncost: 178.92076249305538\n",
      "Run: 4, iteration: 5/20, moves: 56, ncost: 178.54030926386372\n",
      "Run: 4, iteration: 6/20, moves: 68, ncost: 178.05332562206814\n",
      "Run: 4, iteration: 7/20, moves: 25, ncost: 178.02504252828712\n",
      "Run: 4, iteration: 8/20, moves: 4, ncost: 178.0240763350696\n",
      "Run: 4, iteration: 9/20, moves: 1, ncost: 178.02381851589737\n",
      "Run: 4, iteration: 10/20, moves: 0, ncost: 178.02381851589737\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 5, iteration: 1/20, moves: 616, ncost: 203.3223856326461\n",
      "Run: 5, iteration: 2/20, moves: 257, ncost: 193.6121766199619\n",
      "Run: 5, iteration: 3/20, moves: 319, ncost: 177.28704833395662\n",
      "Run: 5, iteration: 4/20, moves: 120, ncost: 176.82945186332282\n",
      "Run: 5, iteration: 5/20, moves: 32, ncost: 176.6743521812565\n",
      "Run: 5, iteration: 6/20, moves: 21, ncost: 176.59526861422316\n",
      "Run: 5, iteration: 7/20, moves: 9, ncost: 176.57828813558385\n",
      "Run: 5, iteration: 8/20, moves: 8, ncost: 176.55906937209485\n",
      "Run: 5, iteration: 9/20, moves: 4, ncost: 176.55554148871389\n",
      "Run: 5, iteration: 10/20, moves: 0, ncost: 176.55554148871389\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 6, iteration: 1/20, moves: 790, ncost: 176.467264244631\n",
      "Run: 6, iteration: 2/20, moves: 205, ncost: 165.68352512449798\n",
      "Run: 6, iteration: 3/20, moves: 147, ncost: 165.1474233637719\n",
      "Run: 6, iteration: 4/20, moves: 26, ncost: 165.1117486560838\n",
      "Run: 6, iteration: 5/20, moves: 4, ncost: 165.11080815301227\n",
      "Run: 6, iteration: 6/20, moves: 0, ncost: 165.11080815301227\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 7, iteration: 1/20, moves: 772, ncost: 167.66239162595252\n",
      "Run: 7, iteration: 2/20, moves: 375, ncost: 162.88090349670694\n",
      "Run: 7, iteration: 3/20, moves: 140, ncost: 157.35011359983568\n",
      "Run: 7, iteration: 4/20, moves: 46, ncost: 156.30494738526215\n",
      "Run: 7, iteration: 5/20, moves: 50, ncost: 155.79055567435714\n",
      "Run: 7, iteration: 6/20, moves: 52, ncost: 154.34363275965362\n",
      "Run: 7, iteration: 7/20, moves: 42, ncost: 154.2273018214147\n",
      "Run: 7, iteration: 8/20, moves: 6, ncost: 154.2163938193643\n",
      "Run: 7, iteration: 9/20, moves: 1, ncost: 154.21583163251674\n",
      "Run: 7, iteration: 10/20, moves: 0, ncost: 154.21583163251674\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 8, iteration: 1/20, moves: 781, ncost: 177.90848737456056\n",
      "Run: 8, iteration: 2/20, moves: 386, ncost: 175.73407783697945\n",
      "Run: 8, iteration: 3/20, moves: 36, ncost: 175.5783569343391\n",
      "Run: 8, iteration: 4/20, moves: 11, ncost: 175.5703337728486\n",
      "Run: 8, iteration: 5/20, moves: 5, ncost: 175.56802937348792\n",
      "Run: 8, iteration: 6/20, moves: 3, ncost: 175.56736765385713\n",
      "Run: 8, iteration: 7/20, moves: 1, ncost: 175.56722637312726\n",
      "Run: 8, iteration: 8/20, moves: 2, ncost: 175.5668340009263\n",
      "Run: 8, iteration: 9/20, moves: 0, ncost: 175.5668340009263\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 9, iteration: 1/20, moves: 927, ncost: 176.38873869609807\n",
      "Run: 9, iteration: 2/20, moves: 175, ncost: 175.34849362161185\n",
      "Run: 9, iteration: 3/20, moves: 37, ncost: 175.2764534900888\n",
      "Run: 9, iteration: 4/20, moves: 18, ncost: 175.24694692311252\n",
      "Run: 9, iteration: 5/20, moves: 11, ncost: 175.2209162750284\n",
      "Run: 9, iteration: 6/20, moves: 6, ncost: 175.21425505917915\n",
      "Run: 9, iteration: 7/20, moves: 11, ncost: 175.1736083135905\n",
      "Run: 9, iteration: 8/20, moves: 22, ncost: 175.0432931821286\n",
      "Run: 9, iteration: 9/20, moves: 23, ncost: 174.95880780383143\n",
      "Run: 9, iteration: 10/20, moves: 22, ncost: 174.9182116925954\n",
      "Run: 9, iteration: 11/20, moves: 11, ncost: 174.9089550863007\n",
      "Run: 9, iteration: 12/20, moves: 2, ncost: 174.90647354447026\n",
      "Run: 9, iteration: 13/20, moves: 0, ncost: 174.90647354447026\n",
      "Init: initializing centroids\n",
      "Init: initializing clusters\n",
      "Starting iterations...\n",
      "Run: 10, iteration: 1/20, moves: 669, ncost: 187.43914871431548\n",
      "Run: 10, iteration: 2/20, moves: 96, ncost: 184.53895466230722\n",
      "Run: 10, iteration: 3/20, moves: 49, ncost: 184.40688528942562\n",
      "Run: 10, iteration: 4/20, moves: 12, ncost: 184.3954407552877\n",
      "Run: 10, iteration: 5/20, moves: 4, ncost: 184.39437122046783\n",
      "Run: 10, iteration: 6/20, moves: 2, ncost: 184.3935354531289\n",
      "Run: 10, iteration: 7/20, moves: 4, ncost: 184.39268559919742\n",
      "Run: 10, iteration: 8/20, moves: 0, ncost: 184.39268559919742\n",
      "Best run was number 7\n"
     ]
    }
   ],
   "source": [
    "# Model inşası\n",
    "kproto = KPrototypes(n_clusters = 10, verbose = 2, max_iter = 20)\n",
    "clusters = kproto.fit_predict(mark_array, categorical = [0,1,3,5,6])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "35c596af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.15999716, 0.27732973, 0.        , 0.        , 0.        ,\n",
       "        1.        , 0.        ],\n",
       "       [0.16637302, 0.17627551, 1.        , 1.        , 1.        ,\n",
       "        0.        , 0.        ],\n",
       "       [0.1928232 , 0.28906679, 1.        , 1.        , 1.        ,\n",
       "        1.        , 0.        ],\n",
       "       [0.30783881, 0.50011087, 0.        , 0.        , 1.        ,\n",
       "        2.        , 2.        ],\n",
       "       [0.59238777, 0.25908   , 1.        , 1.        , 2.        ,\n",
       "        0.        , 0.        ],\n",
       "       [0.78078818, 0.47699407, 0.        , 0.        , 2.        ,\n",
       "        1.        , 1.        ],\n",
       "       [0.42287727, 0.35383389, 0.        , 0.        , 1.        ,\n",
       "        1.        , 1.        ],\n",
       "       [0.38212526, 0.21548876, 0.        , 0.        , 1.        ,\n",
       "        0.        , 0.        ],\n",
       "       [0.15196947, 0.31421746, 1.        , 1.        , 1.        ,\n",
       "        1.        , 1.        ],\n",
       "       [0.57219828, 0.46061083, 1.        , 1.        , 2.        ,\n",
       "        1.        , 2.        ]])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "kproto.cluster_centroids_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0a37fb23",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(kproto.cluster_centroids_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "c2c80ecd",
   "metadata": {},
   "outputs": [],
   "source": [
    "cluster_dict = []\n",
    "for c in clusters:\n",
    "    cluster_dict.append(c)\n",
    "\n",
    "df[\"cluster\"] = cluster_dict\n",
    "\n",
    "df[[\"ID\",\"Age\", \"Income\"]] = df_temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6dbe65eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Sex</th>\n",
       "      <th>Marital status</th>\n",
       "      <th>Age</th>\n",
       "      <th>Education</th>\n",
       "      <th>Income</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>Settlement size</th>\n",
       "      <th>cluster</th>\n",
       "      <th>ID</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
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       "      <td>157434</td>\n",
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       "      <td>100000018</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0</td>\n",
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       "      <td>31</td>\n",
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       "      <td>144657</td>\n",
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       "      <td>0</td>\n",
       "      <td>100000020</td>\n",
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       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>120131</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>100000032</td>\n",
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       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>30</td>\n",
       "      <td>0</td>\n",
       "      <td>162745</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>100000033</td>\n",
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       "    <tr>\n",
       "      <th>35</th>\n",
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       "      <td>104505</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100000036</td>\n",
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       "      <th>36</th>\n",
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       "    <tr>\n",
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       "      <td>24</td>\n",
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       "      <td>92542</td>\n",
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       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>100000040</td>\n",
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       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>84531</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100000051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>92058</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>100000053</td>\n",
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       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>31</td>\n",
       "      <td>0</td>\n",
       "      <td>117158</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>100000054</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Sex  Marital status  Age  Education  Income  Occupation  Settlement size  \\\n",
       "17    0               0   25          0  157434           1                2   \n",
       "19    0               0   31          0  144657           1                1   \n",
       "31    0               0   27          0  120131           1                1   \n",
       "32    0               0   30          0  162745           1                2   \n",
       "35    0               0   25          0  104505           0                0   \n",
       "36    0               0   31          0  143385           1                2   \n",
       "39    0               0   24          0   92542           1                1   \n",
       "50    0               0   29          0   84531           0                0   \n",
       "52    0               0   25          0   92058           1                2   \n",
       "53    0               0   31          0  117158           1                0   \n",
       "\n",
       "    cluster         ID  \n",
       "17        0  100000018  \n",
       "19        0  100000020  \n",
       "31        0  100000032  \n",
       "32        0  100000033  \n",
       "35        0  100000036  \n",
       "36        0  100000037  \n",
       "39        0  100000040  \n",
       "50        0  100000051  \n",
       "52        0  100000053  \n",
       "53        0  100000054  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[df[\"cluster\"] == 0].head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "05c6acca",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 1500x1500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df1 = df[df.cluster == 1]\n",
    "df2 = df[df.cluster == 2]\n",
    "df3 = df[df.cluster == 3]\n",
    "df4 = df[df.cluster == 4]\n",
    "df5 = df[df.cluster == 5]\n",
    "df6 = df[df.cluster == 6]\n",
    "df7 = df[df.cluster == 7]\n",
    "df8 = df[df.cluster == 8]\n",
    "df9 = df[df.cluster == 9]\n",
    "df10 = df[df.cluster == 10]\n",
    "\n",
    "plt.figure(figsize = (15,15))\n",
    "plt.xlabel(\"Age\")\n",
    "plt.ylabel(\"Income\")\n",
    "\n",
    "plt.scatter(df1.Age, df1[\"Income\"],color = \"green\", alpha = 0.4)\n",
    "plt.scatter(df2.Age, df2[\"Income\"],color = \"red\", alpha = 0.4)\n",
    "plt.scatter(df3.Age, df3[\"Income\"],color = \"gray\", alpha = 0.4)\n",
    "plt.scatter(df4.Age, df4[\"Income\"],color = \"orange\", alpha = 0.4)\n",
    "plt.scatter(df5.Age, df5[\"Income\"],color = \"yellow\", alpha = 0.4)\n",
    "plt.scatter(df6.Age, df6[\"Income\"],color = \"cyan\", alpha = 0.4)\n",
    "plt.scatter(df7.Age, df7[\"Income\"],color = \"magenta\", alpha = 0.4)\n",
    "plt.scatter(df8.Age, df8[\"Income\"],color = \"black\", alpha = 0.4)\n",
    "plt.scatter(df9.Age, df9[\"Income\"],color = \"purple\", alpha = 0.4)\n",
    "plt.scatter(df10.Age, df10[\"Income\"],color = \"blue\", alpha = 0.4)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}