3-kendi-calismam-kumeleme.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "30d4e027",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f3cbd715",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Species</th>\n",
       "      <th>Weight</th>\n",
       "      <th>Length1</th>\n",
       "      <th>Length2</th>\n",
       "      <th>Length3</th>\n",
       "      <th>Height</th>\n",
       "      <th>Width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bream</td>\n",
       "      <td>242.0</td>\n",
       "      <td>23.2</td>\n",
       "      <td>25.4</td>\n",
       "      <td>30.0</td>\n",
       "      <td>11.5200</td>\n",
       "      <td>4.0200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bream</td>\n",
       "      <td>290.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>31.2</td>\n",
       "      <td>12.4800</td>\n",
       "      <td>4.3056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bream</td>\n",
       "      <td>340.0</td>\n",
       "      <td>23.9</td>\n",
       "      <td>26.5</td>\n",
       "      <td>31.1</td>\n",
       "      <td>12.3778</td>\n",
       "      <td>4.6961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bream</td>\n",
       "      <td>363.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>29.0</td>\n",
       "      <td>33.5</td>\n",
       "      <td>12.7300</td>\n",
       "      <td>4.4555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bream</td>\n",
       "      <td>430.0</td>\n",
       "      <td>26.5</td>\n",
       "      <td>29.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>12.4440</td>\n",
       "      <td>5.1340</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <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>154</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>12.2</td>\n",
       "      <td>11.5</td>\n",
       "      <td>12.2</td>\n",
       "      <td>13.4</td>\n",
       "      <td>2.0904</td>\n",
       "      <td>1.3936</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>13.4</td>\n",
       "      <td>11.7</td>\n",
       "      <td>12.4</td>\n",
       "      <td>13.5</td>\n",
       "      <td>2.4300</td>\n",
       "      <td>1.2690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>12.2</td>\n",
       "      <td>12.1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>2.2770</td>\n",
       "      <td>1.2558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>19.7</td>\n",
       "      <td>13.2</td>\n",
       "      <td>14.3</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2.8728</td>\n",
       "      <td>2.0672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>19.9</td>\n",
       "      <td>13.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.2</td>\n",
       "      <td>2.9322</td>\n",
       "      <td>1.8792</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>159 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Species  Weight  Length1  Length2  Length3   Height   Width\n",
       "0     Bream   242.0     23.2     25.4     30.0  11.5200  4.0200\n",
       "1     Bream   290.0     24.0     26.3     31.2  12.4800  4.3056\n",
       "2     Bream   340.0     23.9     26.5     31.1  12.3778  4.6961\n",
       "3     Bream   363.0     26.3     29.0     33.5  12.7300  4.4555\n",
       "4     Bream   430.0     26.5     29.0     34.0  12.4440  5.1340\n",
       "..      ...     ...      ...      ...      ...      ...     ...\n",
       "154   Smelt    12.2     11.5     12.2     13.4   2.0904  1.3936\n",
       "155   Smelt    13.4     11.7     12.4     13.5   2.4300  1.2690\n",
       "156   Smelt    12.2     12.1     13.0     13.8   2.2770  1.2558\n",
       "157   Smelt    19.7     13.2     14.3     15.2   2.8728  2.0672\n",
       "158   Smelt    19.9     13.8     15.0     16.2   2.9322  1.8792\n",
       "\n",
       "[159 rows x 7 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fish=pd.read_csv(\"resources/resources/Fish.csv\") #veri okuma\n",
    "fish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "310ab5db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(159, 7)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fish.shape #datafram in satır sütun sayısını ogrenme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0c90d6f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 159 entries, 0 to 158\n",
      "Data columns (total 7 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   Species  159 non-null    object \n",
      " 1   Weight   159 non-null    float64\n",
      " 2   Length1  159 non-null    float64\n",
      " 3   Length2  159 non-null    float64\n",
      " 4   Length3  159 non-null    float64\n",
      " 5   Height   159 non-null    float64\n",
      " 6   Width    159 non-null    float64\n",
      "dtypes: float64(6), object(1)\n",
      "memory usage: 8.8+ KB\n"
     ]
    }
   ],
   "source": [
    "fish.info() #dataframe hakkında genel bilgi alma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "46d2067c",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Weight</th>\n",
       "      <td>159.0</td>\n",
       "      <td>398.326415</td>\n",
       "      <td>357.978317</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>120.00000</td>\n",
       "      <td>273.0000</td>\n",
       "      <td>650.0000</td>\n",
       "      <td>1650.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Length1</th>\n",
       "      <td>159.0</td>\n",
       "      <td>26.247170</td>\n",
       "      <td>9.996441</td>\n",
       "      <td>7.5000</td>\n",
       "      <td>19.05000</td>\n",
       "      <td>25.2000</td>\n",
       "      <td>32.7000</td>\n",
       "      <td>59.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Length2</th>\n",
       "      <td>159.0</td>\n",
       "      <td>28.415723</td>\n",
       "      <td>10.716328</td>\n",
       "      <td>8.4000</td>\n",
       "      <td>21.00000</td>\n",
       "      <td>27.3000</td>\n",
       "      <td>35.5000</td>\n",
       "      <td>63.400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Length3</th>\n",
       "      <td>159.0</td>\n",
       "      <td>31.227044</td>\n",
       "      <td>11.610246</td>\n",
       "      <td>8.8000</td>\n",
       "      <td>23.15000</td>\n",
       "      <td>29.4000</td>\n",
       "      <td>39.6500</td>\n",
       "      <td>68.000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Height</th>\n",
       "      <td>159.0</td>\n",
       "      <td>8.970994</td>\n",
       "      <td>4.286208</td>\n",
       "      <td>1.7284</td>\n",
       "      <td>5.94480</td>\n",
       "      <td>7.7860</td>\n",
       "      <td>12.3659</td>\n",
       "      <td>18.957</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Width</th>\n",
       "      <td>159.0</td>\n",
       "      <td>4.417486</td>\n",
       "      <td>1.685804</td>\n",
       "      <td>1.0476</td>\n",
       "      <td>3.38565</td>\n",
       "      <td>4.2485</td>\n",
       "      <td>5.5845</td>\n",
       "      <td>8.142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         count        mean         std     min        25%       50%       75%  \\\n",
       "Weight   159.0  398.326415  357.978317  0.0000  120.00000  273.0000  650.0000   \n",
       "Length1  159.0   26.247170    9.996441  7.5000   19.05000   25.2000   32.7000   \n",
       "Length2  159.0   28.415723   10.716328  8.4000   21.00000   27.3000   35.5000   \n",
       "Length3  159.0   31.227044   11.610246  8.8000   23.15000   29.4000   39.6500   \n",
       "Height   159.0    8.970994    4.286208  1.7284    5.94480    7.7860   12.3659   \n",
       "Width    159.0    4.417486    1.685804  1.0476    3.38565    4.2485    5.5845   \n",
       "\n",
       "              max  \n",
       "Weight   1650.000  \n",
       "Length1    59.000  \n",
       "Length2    63.400  \n",
       "Length3    68.000  \n",
       "Height     18.957  \n",
       "Width       8.142  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fish.describe().T #dataframe deki columnların aritmetik verilerinin transpozunu alma"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "53e4382a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Species', 'Weight', 'Length1', 'Length2', 'Length3', 'Height',\n",
       "       'Width'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fish.columns #dataframe in columnlarını getirme"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "62f3086f",
   "metadata": {},
   "outputs": [],
   "source": [
    "#grafik çizmek için\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7998ab91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1400x800 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(14,8))\n",
    "fig,ax=plt.subplots(1,6)\n",
    "plt.subplots_adjust(hspace=1,wspace=1)\n",
    "y=0\n",
    "for col in fish.columns[1:]:\n",
    "    sns.histplot(fish[col],bins=100,kde=True,ax=ax[y])\n",
    "    y+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "3ae07f37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='count', ylabel='Species'>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(7,2))\n",
    "sns.countplot(y=\"Species\",data=fish)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a4fb7d6a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x1000 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 36 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20,10))\n",
    "fig,ax=plt.subplots(6,6)\n",
    "plt.subplots_adjust(hspace=3,wspace=3)\n",
    "x=0\n",
    "for first in fish.columns[1:]:\n",
    "    y=0\n",
    "    for col in fish.columns[1:]:\n",
    "        sns.regplot(x=first,y=col,data=fish,ax=ax[x,y])\n",
    "        y+=1\n",
    "    x+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "aed622b2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#korelasyon sıcaklık haritası\n",
    "sns.heatmap(fish.corr(),annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "51175360",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Weight', ylabel='Width'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#iki columna göre graik çizmek\n",
    "sns.scatterplot(x=\"Weight\",y=\"Width\",data=fish,hue=\"Height\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a781f639",
   "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>Species</th>\n",
       "      <th>Length1</th>\n",
       "      <th>Length2</th>\n",
       "      <th>Length3</th>\n",
       "      <th>Height</th>\n",
       "      <th>Width</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bream</td>\n",
       "      <td>23.2</td>\n",
       "      <td>25.4</td>\n",
       "      <td>30.0</td>\n",
       "      <td>11.5200</td>\n",
       "      <td>4.0200</td>\n",
       "      <td>242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bream</td>\n",
       "      <td>24.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>31.2</td>\n",
       "      <td>12.4800</td>\n",
       "      <td>4.3056</td>\n",
       "      <td>290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Bream</td>\n",
       "      <td>23.9</td>\n",
       "      <td>26.5</td>\n",
       "      <td>31.1</td>\n",
       "      <td>12.3778</td>\n",
       "      <td>4.6961</td>\n",
       "      <td>340.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Bream</td>\n",
       "      <td>26.3</td>\n",
       "      <td>29.0</td>\n",
       "      <td>33.5</td>\n",
       "      <td>12.7300</td>\n",
       "      <td>4.4555</td>\n",
       "      <td>363.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Bream</td>\n",
       "      <td>26.5</td>\n",
       "      <td>29.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>12.4440</td>\n",
       "      <td>5.1340</td>\n",
       "      <td>430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <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>154</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>11.5</td>\n",
       "      <td>12.2</td>\n",
       "      <td>13.4</td>\n",
       "      <td>2.0904</td>\n",
       "      <td>1.3936</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>11.7</td>\n",
       "      <td>12.4</td>\n",
       "      <td>13.5</td>\n",
       "      <td>2.4300</td>\n",
       "      <td>1.2690</td>\n",
       "      <td>13.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>12.1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>2.2770</td>\n",
       "      <td>1.2558</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>13.2</td>\n",
       "      <td>14.3</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2.8728</td>\n",
       "      <td>2.0672</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>Smelt</td>\n",
       "      <td>13.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.2</td>\n",
       "      <td>2.9322</td>\n",
       "      <td>1.8792</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>159 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Species  Length1  Length2  Length3   Height   Width  Weight\n",
       "0     Bream     23.2     25.4     30.0  11.5200  4.0200   242.0\n",
       "1     Bream     24.0     26.3     31.2  12.4800  4.3056   290.0\n",
       "2     Bream     23.9     26.5     31.1  12.3778  4.6961   340.0\n",
       "3     Bream     26.3     29.0     33.5  12.7300  4.4555   363.0\n",
       "4     Bream     26.5     29.0     34.0  12.4440  5.1340   430.0\n",
       "..      ...      ...      ...      ...      ...     ...     ...\n",
       "154   Smelt     11.5     12.2     13.4   2.0904  1.3936    12.2\n",
       "155   Smelt     11.7     12.4     13.5   2.4300  1.2690    13.4\n",
       "156   Smelt     12.1     13.0     13.8   2.2770  1.2558    12.2\n",
       "157   Smelt     13.2     14.3     15.2   2.8728  2.0672    19.7\n",
       "158   Smelt     13.8     15.0     16.2   2.9322  1.8792    19.9\n",
       "\n",
       "[159 rows x 7 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a=fish[\"Weight\"]\n",
    "fish.drop(\"Weight\",inplace=True,axis=1)\n",
    "fish=fish.join(a)\n",
    "fish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e1822854",
   "metadata": {},
   "outputs": [],
   "source": [
    "X=fish[fish.columns[3:]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e080afe6",
   "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>Length1</th>\n",
       "      <th>Length2</th>\n",
       "      <th>Length3</th>\n",
       "      <th>Height</th>\n",
       "      <th>Width</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23.2</td>\n",
       "      <td>25.4</td>\n",
       "      <td>30.0</td>\n",
       "      <td>11.5200</td>\n",
       "      <td>4.0200</td>\n",
       "      <td>242.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>24.0</td>\n",
       "      <td>26.3</td>\n",
       "      <td>31.2</td>\n",
       "      <td>12.4800</td>\n",
       "      <td>4.3056</td>\n",
       "      <td>290.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23.9</td>\n",
       "      <td>26.5</td>\n",
       "      <td>31.1</td>\n",
       "      <td>12.3778</td>\n",
       "      <td>4.6961</td>\n",
       "      <td>340.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>26.3</td>\n",
       "      <td>29.0</td>\n",
       "      <td>33.5</td>\n",
       "      <td>12.7300</td>\n",
       "      <td>4.4555</td>\n",
       "      <td>363.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>26.5</td>\n",
       "      <td>29.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>12.4440</td>\n",
       "      <td>5.1340</td>\n",
       "      <td>430.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>11.5</td>\n",
       "      <td>12.2</td>\n",
       "      <td>13.4</td>\n",
       "      <td>2.0904</td>\n",
       "      <td>1.3936</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>11.7</td>\n",
       "      <td>12.4</td>\n",
       "      <td>13.5</td>\n",
       "      <td>2.4300</td>\n",
       "      <td>1.2690</td>\n",
       "      <td>13.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>12.1</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.8</td>\n",
       "      <td>2.2770</td>\n",
       "      <td>1.2558</td>\n",
       "      <td>12.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>13.2</td>\n",
       "      <td>14.3</td>\n",
       "      <td>15.2</td>\n",
       "      <td>2.8728</td>\n",
       "      <td>2.0672</td>\n",
       "      <td>19.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>13.8</td>\n",
       "      <td>15.0</td>\n",
       "      <td>16.2</td>\n",
       "      <td>2.9322</td>\n",
       "      <td>1.8792</td>\n",
       "      <td>19.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>159 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Length1  Length2  Length3   Height   Width  Weight\n",
       "0       23.2     25.4     30.0  11.5200  4.0200   242.0\n",
       "1       24.0     26.3     31.2  12.4800  4.3056   290.0\n",
       "2       23.9     26.5     31.1  12.3778  4.6961   340.0\n",
       "3       26.3     29.0     33.5  12.7300  4.4555   363.0\n",
       "4       26.5     29.0     34.0  12.4440  5.1340   430.0\n",
       "..       ...      ...      ...      ...     ...     ...\n",
       "154     11.5     12.2     13.4   2.0904  1.3936    12.2\n",
       "155     11.7     12.4     13.5   2.4300  1.2690    13.4\n",
       "156     12.1     13.0     13.8   2.2770  1.2558    12.2\n",
       "157     13.2     14.3     15.2   2.8728  2.0672    19.7\n",
       "158     13.8     15.0     16.2   2.9322  1.8792    19.9\n",
       "\n",
       "[159 rows x 6 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "064c76dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.cluster import KMeans #kümeleme yapacağımız için import ediyoruz\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "546412b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "C:\\Users\\msika\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1332: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "uzaklik=[]\n",
    "for n in range(1,11):\n",
    "    model=KMeans(n_clusters=n,init='k-means++',n_init=10,max_iter=300,tol=0.0001,random_state=42)\n",
    "    model.fit(X)\n",
    "    uzaklik.append(model.inertia_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "972ce0d3",
   "metadata": {},
   "outputs": [
    {
     "data": {
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9q/bu3avvfe97dpcDAAAQNgRtAAAA6FAZGRnq2bOnHn/8caWkpNhdDgAAQNgQtAEAAKBDsXIJAADorNgMAQAAAAAAAAgDgjYAAAAAAAAgDAjaAAAAAAAAgDAgaAMAAAAAAADCgKANAAAAAAAACAOCNgAAAAAAACAMCNoAAAAAAACAMCBoAwAAAAAAAMKAoA0AAAAAAAAIg/8PQsS0HwRjyVEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(1,figsize=(15,6))\n",
    "plt.plot(np.arange(1,11),uzaklik,'o')\n",
    "plt.plot(np.arange(1,11),uzaklik,'-',alpha=0.5)\n",
    "plt.xlabel(\"Küme Sayısı\"),plt.ylabel(\"Uzaklık\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c4d74324",
   "metadata": {},
   "outputs": [],
   "source": [
    "model=(KMeans(n_clusters=2,init='k-means++',n_init=10,max_iter=300,tol=0.0001,random_state=42,algorithm='elkan'))\n",
    "model.fit(X)\n",
    "newLabel=model.labels_\n",
    "merkezler=model.cluster_centers_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d1d2bc7d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newLabel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "5c7128e7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 21.38715596,  23.18440367,  25.49541284,   7.01758257,\n",
       "          3.52415229, 192.08165138],\n",
       "       [ 36.842     ,  39.82      ,  43.722     ,  13.22943   ,\n",
       "          6.364952  , 847.94      ]])"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merkezler"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4cae7b51",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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