{"id":1242,"date":"2023-07-27T04:03:40","date_gmt":"2023-07-27T04:03:40","guid":{"rendered":"https:\/\/statorials.org\/ko\/k%e1%84%82%e1%85%b3%e1%86%ab-r%e1%84%85%e1%85%a9-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa%e1%84%83%e1%85%ac%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b4%e1%84%86\/"},"modified":"2023-07-27T04:03:40","modified_gmt":"2023-07-27T04:03:40","slug":"k%e1%84%82%e1%85%b3%e1%86%ab-r%e1%84%85%e1%85%a9-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa%e1%84%83%e1%85%ac%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b4%e1%84%86","status":"publish","type":"post","link":"https:\/\/statorials.org\/ko\/k%e1%84%82%e1%85%b3%e1%86%ab-r%e1%84%85%e1%85%a9-%e1%84%80%e1%85%b3%e1%84%85%e1%85%ae%e1%86%b8%e1%84%92%e1%85%aa%e1%84%83%e1%85%ac%e1%86%b7%e1%84%8b%e1%85%b3%e1%86%af-%e1%84%8b%e1%85%b4%e1%84%86\/","title":{"rendered":"R\uc758 k-\ud3c9\uade0 \uad70\uc9d1\ud654: \ub2e8\uacc4\ubcc4 \uc608"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ub370\uc774\ud130 \uc138\ud2b8 \ub0b4\uc5d0\uc11c <a href=\"https:\/\/statorials.org\/ko\/\u1110\u1169\u11bc\u1100\u1168\u110b\u1166\u1109\u1165\u110b\u1174-\u1100\u116a\u11ab\u110e\u1161\u11af\/\" target=\"_blank\" rel=\"noopener noreferrer\">\uad00\ucc30<\/a> <em>\uadf8\ub8f9\uc744<\/em> \ucc3e\uc73c\ub824\uace0 \uc2dc\ub3c4\ud558\ub294 \uae30\uacc4 \ud559\uc2b5 \uae30\uc220\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ubaa9\ud45c\ub294 \uac01 \uad70\uc9d1 \ub0b4\uc758 \uad00\uce21\uac12\uc774 \uc11c\ub85c \ub9e4\uc6b0 \uc720\uc0ac\ud55c \ubc18\uba74, \ub2e4\ub978 \uad70\uc9d1\uc758 \uad00\uce21\uac12\uc740 \uc11c\ub85c \uc0c1\ub2f9\ud788 \ub2e4\ub978 \uad70\uc9d1\uc744 \ucc3e\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 <a href=\"https:\/\/statorials.org\/ko\/\u110c\u1175\u1103\u1169-\u1112\u1161\u11a8\u1109\u1173\u11b8\u1100\u116a-\u1107\u1175\u110c\u1175\u1103\u1169-\u1112\u1161\u11a8\u1109\u1173\u11b8\/\" target=\"_blank\" rel=\"noopener noreferrer\">\ube44\uc9c0\ub3c4 \ud559\uc2b5<\/a> \uc758 \ud55c \ud615\ud0dc\uc785\ub2c8\ub2e4 <a href=\"https:\/\/statorials.org\/ko\/\u1107\u1167\u11ab\u1109\u116e-\u1109\u1165\u11af\u1106\u1167\u11bc-\u110b\u1173\u11bc\u1103\u1161\u11b8\/\" target=\"_blank\" rel=\"noopener noreferrer\">. \uc751\ub2f5 \ubcc0\uc218<\/a> \uc758 \uac12\uc744 \uc608\uce21\ud558\ub294 \uac83\uc774 \uc544\ub2c8\ub77c \ub2e8\uc21c\ud788 \ub370\uc774\ud130 \uc138\ud2b8 \ub0b4\uc5d0\uc11c \uad6c\uc870\ub97c \ucc3e\uc73c\ub824\uace0 \ud558\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \uae30\uc5c5\uc774 \ub2e4\uc74c\uacfc \uac19\uc740 \uc815\ubcf4\uc5d0 \uc561\uc138\uc2a4\ud560 \uc218 \uc788\ub294 \uacbd\uc6b0 \ub9c8\ucf00\ud305\uc5d0 \uc790\uc8fc \uc0ac\uc6a9\ub429\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uac00\uad6c \uc18c\ub4dd<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac00\uad6c \uaddc\ubaa8<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc138\ub300\uc8fc \uc9c1\uc5c5<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uac00\uc7a5 \uac00\uae4c\uc6b4 \ub3c4\uc2dc \uc9c0\uc5ed\uae4c\uc9c0\uc758 \uac70\ub9ac<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uc774 \uc815\ubcf4\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc73c\uba74 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc0ac\uc6a9\ud558\uc5ec \uc720\uc0ac\ud558\uace0 \ud2b9\uc815 \uc81c\ud488\uc744 \uad6c\ub9e4\ud560 \uac00\ub2a5\uc131\uc774 \ub192\uac70\ub098 \ud2b9\uc815 \uc720\ud615\uc758 \uad11\uace0\uc5d0 \ub354 \uc798 \ubc18\uc751\ud560 \uc218 \uc788\ub294 \uac00\uad6c\ub97c \uc2dd\ubcc4\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ud074\ub7ec\uc2a4\ud130\ub9c1\uc758 \uac00\uc7a5 \uc77c\ubc18\uc801\uc778 \ud615\ud0dc \uc911 \ud558\ub098\ub294 <strong>k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1<\/strong> \uc73c\ub85c \uc54c\ub824\uc838 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>K-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc774\ub780 \ubb34\uc5c7\uc785\ub2c8\uae4c?<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">K-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac01 \uad00\uce21\uce58\ub97c <em>K<\/em> \ud074\ub7ec\uc2a4\ud130 \uc911 \ud558\ub098\uc5d0 \ubc30\uce58\ud558\ub294 \uae30\uc220\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ucd5c\uc885 \ubaa9\ud45c\ub294 \uac01 \ud074\ub7ec\uc2a4\ud130 \ub0b4\uc758 \uad00\uce21\uce58\uac00 \uc11c\ub85c \ub9e4\uc6b0 \uc720\uc0ac\ud55c \ubc18\uba74 \ub2e4\ub978 \ud074\ub7ec\uc2a4\ud130\uc758 \uad00\uce21\uce58\ub294 \uc11c\ub85c \uc0c1\ub2f9\ud788 \ub2e4\ub978 <em>K<\/em> \uac1c\uc758 \ud074\ub7ec\uc2a4\ud130\ub97c \uac16\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc2e4\uc81c\ub85c K-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\uae30 \uc704\ud574 \ub2e4\uc74c \ub2e8\uacc4\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. <em>K<\/em> \uac12\uc744 \uc120\ud0dd\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uba3c\uc800, \ub370\uc774\ud130\uc5d0\uc11c \uc2dd\ubcc4\ud558\ub824\ub294 \ud074\ub7ec\uc2a4\ud130 \uc218\ub97c \uacb0\uc815\ud574\uc57c \ud569\ub2c8\ub2e4. \uc885\uc885 \uc6b0\ub9ac\ub294 <em>K<\/em> \uc5d0 \ub300\ud574 \uc5ec\ub7ec \uac00\uc9c0 \ub2e4\ub978 \uac12\uc744 \ud14c\uc2a4\ud2b8\ud558\uace0 \uacb0\uacfc\ub97c \ubd84\uc11d\ud558\uc5ec \uc8fc\uc5b4\uc9c4 \ubb38\uc81c\uc5d0 \uac00\uc7a5 \uc801\ud569\ud55c \ud074\ub7ec\uc2a4\ud130 \uc218\ub97c \ud655\uc778\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>2. \uac01 \uad00\uce21\uce58\ub97c 1\ubd80\ud130 <em>K<\/em> \uae4c\uc9c0 \ucd08\uae30 \ud074\ub7ec\uc2a4\ud130\uc5d0 \ubb34\uc791\uc704\ub85c \ud560\ub2f9\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3. \ud074\ub7ec\uc2a4\ud130 \ud560\ub2f9 \ubcc0\uacbd\uc774 \uc911\uc9c0\ub420 \ub54c\uae4c\uc9c0 \ub2e4\uc74c \uc808\ucc28\ub97c \uc218\ud589\ud569\ub2c8\ub2e4.<\/strong><\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><em>K<\/em> \uac1c\uc758 \ud074\ub7ec\uc2a4\ud130 \uac01\uac01\uc5d0 \ub300\ud574 <em>\ud074\ub7ec\uc2a4\ud130\uc758 \ubb34\uac8c \uc911\uc2ec\uc744 \uacc4\uc0b0\ud569\ub2c8\ub2e4.<\/em> \uc774\uac83\uc740 \ub2e8\uc21c\ud788 <em>k\ubc88\uc9f8<\/em> \ud074\ub7ec\uc2a4\ud130\uc758 \uad00\uce21\uac12\uc5d0 \ub300\ud55c <em>p-<\/em> \ud3c9\uade0 \ud2b9\uc9d5\uc758 \ubca1\ud130\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc911\uc2ec\uc774 \uac00\uc7a5 \uac00\uae4c\uc6b4 \ud074\ub7ec\uc2a4\ud130\uc5d0 \uac01 \uad00\uce21\uce58\ub97c \ud560\ub2f9\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc11c <em>\uac00\uc7a5 \uac00\uae4c\uc6b4 \uac83\uc740<\/em> <a href=\"https:\/\/en.wikipedia.org\/wiki\/Euclidean_distance#Squared_Euclidean_distance\" target=\"_blank\" rel=\"noopener noreferrer\">\uc720\ud074\ub9ac\ub4dc \uac70\ub9ac\ub97c<\/a> \uc0ac\uc6a9\ud558\uc5ec \uc815\uc758\ub429\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<h3> <span style=\"color: #000000;\"><strong>R\uc758 K-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>1\ub2e8\uacc4: \ud544\uc694\ud55c \ud328\ud0a4\uc9c0 \ub85c\ub4dc<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 R\uc758 k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc5d0 \ub300\ud55c \uba87 \uac00\uc9c0 \uc720\uc6a9\ud55c \uae30\ub2a5\uc774 \ud3ec\ud568\ub41c \ub450 \uac1c\uc758 \ud328\ud0a4\uc9c0\ub97c \ub85c\ub4dc\ud569\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #993300;\">library<\/span> (factoextra)\n<span style=\"color: #993300;\">library<\/span> (cluster)<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>2\ub2e8\uacc4: \ub370\uc774\ud130 \ub85c\ub4dc \ubc0f \uc900\ube44<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc5d0\uc11c\ub294 R\uc5d0 \ub0b4\uc7a5\ub41c <em>USArrests<\/em> \ub370\uc774\ud130\uc138\ud2b8\ub97c \uc0ac\uc6a9\ud569\ub2c8\ub2e4. \uc5ec\uae30\uc5d0\ub294 1973\ub144 \ubbf8\uad6d \uac01 \uc8fc\uc5d0\uc11c <em>\uc0b4\uc778<\/em> , <em>\ud3ed\ud589<\/em> , <em>\uac15\uac04<\/em> \uc73c\ub85c \uccb4\ud3ec\ub41c \uac74\uc218\uc640 \ub3c4\uc2dc\uc5d0 \uac70\uc8fc\ud558\ub294 \uac01 \uc8fc\uc758 \uc778\uad6c \ube44\uc728\uc774 \ud3ec\ud568\ub418\uc5b4 \uc788\uc2b5\ub2c8\ub2e4. \uc9c0\uc5ed. , <em>\uc5b4\ubc18\ud31d<\/em> .<\/span><\/p>\n<p> <span style=\"color: #000000;\">\ub2e4\uc74c \ucf54\ub4dc\ub294 \ub2e4\uc74c \uc791\uc5c5\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><em>USArrests<\/em> \ub370\uc774\ud130 \uc138\ud2b8 \ub85c\ub4dc<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub204\ub77d\ub41c \uac12\uc774 \uc788\ub294 \ubaa8\ub4e0 \ud589\uc744 \uc81c\uac70\ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ud3c9\uade0\uc774 0\uc774\uace0 \ud45c\uc900\ud3b8\ucc28\uac00 1\uc774 \ub418\ub3c4\ub85d \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uac01 \ubcc0\uc218\ub97c \uc870\uc815\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#load data<\/span>\ndf &lt;-USArrests\n\n<span style=\"color: #008080;\">#remove rows with missing values<\/span><\/strong>\n<strong>df &lt;- na. <span style=\"color: #3366ff;\">omitted<\/span> (df)\n\n<span style=\"color: #008080;\">#scale each variable to have a mean of 0 and sd of 1<\/span><\/strong>\n<strong>df &lt;- scale(df)\n\n<span style=\"color: #008080;\">#view first six rows of dataset<\/span>\nhead(df)\n\n               Murder Assault UrbanPop Rape\nAlabama 1.24256408 0.7828393 -0.5209066 -0.003416473\nAlaska 0.50786248 1.1068225 -1.2117642 2.484202941\nArizona 0.07163341 1.4788032 0.9989801 1.042878388\nArkansas 0.23234938 0.2308680 -1.0735927 -0.184916602\nCalifornia 0.27826823 1.2628144 1.7589234 2.067820292\nColorado 0.02571456 0.3988593 0.8608085 1.864967207\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>3\ub2e8\uacc4: \ucd5c\uc801\uc758 \ud074\ub7ec\uc2a4\ud130 \uc218 \ucc3e\uae30<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">R\uc5d0\uc11c k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\ub824\uba74 \ub2e4\uc74c \uad6c\ubb38\uc744 \uc0ac\uc6a9\ud558\ub294 \ub0b4\uc7a5 <strong>kmeans()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>kmeans(\ub370\uc774\ud130, \uc13c\ud130, nstart)<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uae08:<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><strong>\ub370\uc774\ud130:<\/strong> \ub370\uc774\ud130 \uc138\ud2b8\uc758 \uc774\ub984\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>\uc13c\ud130:<\/strong> <em>k<\/em> \ub85c \ud45c\uc2dc\ub418\ub294 \ud074\ub7ec\uc2a4\ud130 \uc218\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><strong>nstart:<\/strong> \ucd08\uae30 \uad6c\uc131 \uc218\uc785\ub2c8\ub2e4. \ucd08\uae30 \uc2dc\uc791 \ud074\ub7ec\uc2a4\ud130\uac00 \ub2e4\ub974\uba74 \uacb0\uacfc\ub3c4 \ub2ec\ub77c\uc9c8 \uc218 \uc788\uc73c\ubbc0\ub85c \uc5ec\ub7ec \uac00\uc9c0 \ucd08\uae30 \uad6c\uc131\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc774 \uc88b\uc2b5\ub2c8\ub2e4. k-\ud3c9\uade0 \uc54c\uace0\ub9ac\uc998\uc740 \ud074\ub7ec\uc2a4\ud130 \ub0b4\uc5d0\uc11c \uac00\uc7a5 \uc791\uc740 \ubcc0\ub3d9\uc73c\ub85c \uc774\uc5b4\uc9c0\ub294 \ucd08\uae30 \uad6c\uc131\uc744 \ucc3e\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ucd5c\uc801\uc758 \ud074\ub7ec\uc2a4\ud130 \uc218\ub97c \ubbf8\ub9ac \uc54c \uc218 \uc5c6\uc73c\ubbc0\ub85c \uacb0\uc815\ud558\ub294 \ub370 \ub3c4\uc6c0\uc774 \ub420 \uc218 \uc788\ub294 \ub450 \uac00\uc9c0 \uadf8\ub798\ud504\ub97c \ub9cc\ub4ed\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>1. \uc804\uccb4 \uc81c\uacf1\ud569\uc5d0 \ub300\ud55c \ud074\ub7ec\uc2a4\ud130 \uc218<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\uba3c\uc800 <strong>fviz_nbclust()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ud074\ub7ec\uc2a4\ud130 \uc218\uc640 \uc81c\uacf1\ud569\uc758 \ud569\uacc4\uc5d0 \ub300\ud55c \ud50c\ub86f\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>fviz_nbclust(df, kmeans, method = \u201c <span style=\"color: #008000;\">wss<\/span> \u201d)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12310 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kmmoyenne1.png\" alt=\"k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc758 \ucd5c\uc801 \ud074\ub7ec\uc2a4\ud130 \uc218\" width=\"444\" height=\"434\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uc77c\ubc18\uc801\uc73c\ub85c \uc774\ub7ec\ud55c \uc720\ud615\uc758 \ud50c\ub86f\uc744 \uc0dd\uc131\ud560 \ub54c \uc81c\uacf1\ud569\uc774 &#8220;\uad6c\ubd80\ub7ec\uc9c0\uac70\ub098&#8221; \uc218\ud3c9\uc744 \uc774\ub8e8\uae30 \uc2dc\uc791\ud558\ub294 &#8220;\ubb34\ub98e&#8221;\uc744 \ucc3e\uc2b5\ub2c8\ub2e4. \uc774\ub294 \uc77c\ubc18\uc801\uc73c\ub85c \ucd5c\uc801\uc758 \ud074\ub7ec\uc2a4\ud130 \uc218\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uc774 \uadf8\ub798\ud504\uc758 \uacbd\uc6b0 k = 4\uac1c \ud074\ub7ec\uc2a4\ud130\uc5d0 \uc791\uc740 \uaf2c\uc784 \ub610\ub294 &#8220;\uad74\uace1&#8221;\uc774 \uc788\ub294 \uac83\uc73c\ub85c \ub098\ud0c0\ub0a9\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2. \uad70\uc9d1 \uc218\uc640 \uaca9\ucc28 \ud1b5\uacc4<\/strong><\/span><\/p>\n<p> <span style=\"color: #000000;\">\ucd5c\uc801\uc758 \ud074\ub7ec\uc2a4\ud130 \uc218\ub97c \uacb0\uc815\ud558\ub294 \ub610 \ub2e4\ub978 \ubc29\ubc95\uc740 \ub2e4\uc591\ud55c k \uac12\uc5d0 \ub300\ud55c \uc804\uccb4 \ud074\ub7ec\uc2a4\ud130 \ub0b4 \ubcc0\ub3d9\uc744 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc774 \uc5c6\ub294 \ubd84\ud3ec\uc5d0 \ub300\ud55c \uc608\uc0c1 \uac12\uacfc \ube44\uad50\ud558\ub294 <a style=\"color: #000000;\" href=\"https:\/\/web.stanford.edu\/~hastie\/Papers\/gap.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">\ud3b8\ucc28 \ud1b5\uacc4<\/a> \ub77c\ub294 \uce21\uc815\ud56d\ubaa9\uc744 \uc0ac\uc6a9\ud558\ub294 \uac83\uc785\ub2c8\ub2e4.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><em>\ud074\ub7ec\uc2a4\ud130<\/em> \ud328\ud0a4\uc9c0\uc758 <strong>clusGap()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \ud074\ub7ec\uc2a4\ud130 \uc218\uc5d0 \ub300\ud55c \uac04\uaca9 \ud1b5\uacc4\ub97c \uacc4\uc0b0\ud560 \uc218 \uc788\uc744 \ubfd0\ub9cc \uc544\ub2c8\ub77c <strong>fviz_gap_stat()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac04\uaca9 \ud1b5\uacc4\uc5d0 \ub300\ud574 \ud074\ub7ec\uc2a4\ud130\ub97c \uadf8\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#calculate gap statistic based on number of clusters\n<\/span>gap_stat &lt;- clusGap(df,\n                    FUN = kmeans,\n                    nstart = 25,\n                    K.max = 10,\n                    B = 50)\n\n<span style=\"color: #008080;\">#plot number of clusters vs. gap statistic\n<\/span>fviz_gap_stat(gap_stat)<\/strong> <\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12311 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/moyenne-km2.png\" alt=\"\ucd5c\uc801\uc758 \ud074\ub7ec\uc2a4\ud130 \uc218\uc5d0 \ub300\ud55c \ud3b8\ucc28 \ud1b5\uacc4\" width=\"454\" height=\"445\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\">\uadf8\ub798\ud504\uc5d0\uc11c \uac04\uaca9 \ud1b5\uacc4\ub294 k = 4 \ud074\ub7ec\uc2a4\ud130\uc5d0\uc11c \uac00\uc7a5 \ub192\ub2e4\ub294 \uac83\uc744 \uc54c \uc218 \uc788\uc73c\uba70 \uc774\ub294 \uc774\uc804\uc5d0 \uc0ac\uc6a9\ud55c \ud314\uafc8\uce58 \ubc29\ubc95\uc5d0 \ud574\ub2f9\ud569\ub2c8\ub2e4.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>4\ub2e8\uacc4: \ucd5c\uc801 <em>K\ub97c<\/em> \uc0ac\uc6a9\ud558\uc5ec K-\ud3c9\uade0 \uad70\uc9d1\ud654 \uc218\ud589<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">\ub9c8\uc9c0\ub9c9\uc73c\ub85c <em>k<\/em> -4\uc5d0 \ub300\ud55c \ucd5c\uc801 \uac12\uc744 \uc0ac\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uc138\ud2b8\uc5d0\uc11c k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#make this example reproducible\n<span style=\"color: #000000;\">set.seed(1)<\/span>\n\n#perform k-means clustering with k = 4 clusters\n<\/span>km &lt;- kmeans(df, centers = 4, nstart = 25)\n\n<span style=\"color: #008080;\">#view results\n<\/span>km\n\nK-means clustering with 4 clusters of sizes 16, 13, 13, 8\n\nCluster means:\n      Murder Assault UrbanPop Rape\n1 -0.4894375 -0.3826001 0.5758298 -0.26165379\n2 -0.9615407 -1.1066010 -0.9301069 -0.96676331\n3 0.6950701 1.0394414 0.7226370 1.27693964\n4 1.4118898 0.8743346 -0.8145211 0.01927104\n\nVector clustering:\n       Alabama Alaska Arizona Arkansas California Colorado \n             4 3 3 4 3 3 \n   Connecticut Delaware Florida Georgia Hawaii Idaho \n             1 1 3 4 1 2 \n      Illinois Indiana Iowa Kansas Kentucky Louisiana \n             3 1 2 1 2 4 \n         Maine Maryland Massachusetts Michigan Minnesota Mississippi \n             2 3 1 3 2 4 \n      Missouri Montana Nebraska Nevada New Hampshire New Jersey \n             3 2 2 3 2 1 \n    New Mexico New York North Carolina North Dakota Ohio Oklahoma \n             3 3 4 2 1 1 \n        Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee \n             1 1 1 4 2 4 \n         Texas Utah Vermont Virginia Washington West Virginia \n             3 1 2 1 1 2 \n     Wisconsin Wyoming \n             2 1 \n\nWithin cluster sum of squares by cluster:\n[1] 16.212213 11.952463 19.922437 8.316061\n (between_SS \/ total_SS = 71.2%)\n\nAvailable components:\n\n[1] \"cluster\" \"centers\" \"totss\" \"withinss\" \"tot.withinss\" \"betweenss\"   \n[7] \"size\" \"iter\" \"ifault\"         \n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uacb0\uacfc\uc5d0\uc11c \uc6b0\ub9ac\ub294 \ub2e4\uc74c\uc744 \uc54c \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\"><b>16\uac1c<\/b> \uc8fc\uac00 \uccab \ubc88\uc9f8 \ud074\ub7ec\uc2a4\ud130\uc5d0 \ud560\ub2f9\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub450 \ubc88\uc9f8 \ud074\ub7ec\uc2a4\ud130\uc5d0\ub294 <strong>13<\/strong> \uac1c \uc8fc\uac00 \ud560\ub2f9\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc138 \ubc88\uc9f8 \ud074\ub7ec\uc2a4\ud130\uc5d0\ub294 <strong>13<\/strong> \uac1c \uc8fc\uac00 \ud560\ub2f9\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\"><b>8<\/b> \uac1c \uc8fc\uac00 \ub124 \ubc88\uc9f8 \ud074\ub7ec\uc2a4\ud130\uc5d0 \ud560\ub2f9\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\"><strong>fivz_cluster()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \ucd95\uc5d0 \ucc98\uc74c \ub450 \uac1c\uc758 \uc8fc\uc131\ubd84\uc744 \ud45c\uc2dc\ud558\ub294 \uc0b0\uc810\ub3c4\uc5d0\uc11c \ud074\ub7ec\uc2a4\ud130\ub97c \uc2dc\uac01\ud654\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span> <\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#plot results of final k-means model\n<span style=\"color: #000000;\">fviz_cluster(km, data = df)\n<\/span><\/span><\/strong><\/pre>\n<p><img decoding=\"async\" loading=\"lazy\" class=\"aligncenter wp-image-12313 \" src=\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/kmmoyenne4.png\" alt=\"K-\ub294 R\uc758 \ud074\ub7ec\uc2a4\ud130\ub9c1 \ud50c\ub86f\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.\" width=\"475\" height=\"472\" srcset=\"\" sizes=\"auto, \"><\/p>\n<p> <span style=\"color: #000000;\"><strong>Aggregate()<\/strong> \ud568\uc218\ub97c \uc0ac\uc6a9\ud558\uc5ec \uac01 \ud074\ub7ec\uc2a4\ud130\uc758 \ubcc0\uc218 \ud3c9\uade0\uc744 \ucc3e\uc744 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#find means of each cluster\n<span style=\"color: #000000;\">aggregate(USArrests, by= <span style=\"color: #3366ff;\">list<\/span> (cluster=km$cluster), mean)\n\ncluster Murder Assault UrbanPop Rape\n\t\t\t\t\n1 3.60000 78.53846 52.07692 12.17692\n2 10.81538 257.38462 76.00000 33.19231\n3 5.65625 138.87500 73.87500 18.78125\n4 13.93750 243.62500 53.75000 21.41250\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\uc774 \ucd9c\ub825\uc744 \ub2e4\uc74c\uacfc \uac19\uc774 \ud574\uc11d\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uadf8\ub8f9 1 \uc8fc\uc5d0\uc11c \uc2dc\ubbfc 100,000\uba85\ub2f9 \ud3c9\uade0 \uc0b4\uc778 \uac74\uc218\ub294 <strong>3.6\uac74<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uadf8\ub8f9 1 \uc8fc\uc5d0\uc11c \uc2dc\ubbfc 100,000\uba85\ub2f9 \ud3c9\uade0 \ud3ed\ud589 \uac74\uc218\ub294 <strong>78.5\uac74<\/strong> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uadf8\ub8f9 1 \uc8fc \uc911 \ub3c4\uc2dc \uc9c0\uc5ed\uc5d0 \uac70\uc8fc\ud558\ub294 \uc8fc\ubbfc\uc758 \ud3c9\uade0 \ube44\uc728\uc740 <b>52.1%<\/b> \uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uadf8\ub8f9 1 \uc8fc\uc5d0\uc11c \uc2dc\ubbfc 100,000\uba85\ub2f9 \ud3c9\uade0 \uac15\uac04 \uac74\uc218\ub294 <strong>12.2<\/strong> \uac74\uc785\ub2c8\ub2e4 <strong>.<\/strong><\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\ub4f1\ub4f1.<\/span><\/p>\n<p> <span style=\"color: #000000;\">\uac01 \uc8fc\uc758 \ud074\ub7ec\uc2a4\ud130 \ud560\ub2f9\uc744 \uc6d0\ubcf8 \ub370\uc774\ud130\uc138\ud2b8\uc5d0 \ucd94\uac00\ud560 \uc218\ub3c4 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add cluster assignment to original data\n<span style=\"color: #000000;\">final_data &lt;- cbind(USArrests, cluster = km$cluster)\n<\/span>\n#view final data\n<span style=\"color: #000000;\">head(final_data)\n\n\t<\/span><span style=\"color: #000000;\">Murder Assault UrbanPop<\/span> <span style=\"color: #000000;\">Rape<\/span> <span style=\"color: #000000;\">cluster\n\t\t\t\t\nAlabama<\/span> <span style=\"color: #000000;\">13.2<\/span> <span style=\"color: #000000;\">236 58<\/span> <span style=\"color: #000000;\">21.2<\/span> <span style=\"color: #000000;\">4\nAlaska<\/span> <span style=\"color: #000000;\">10.0 263 48<\/span> <span style=\"color: #000000;\">44.5<\/span> <span style=\"color: #000000;\">2\nArizona<\/span> <span style=\"color: #000000;\">8.1 294 80<\/span> <span style=\"color: #000000;\">31.0<\/span> <span style=\"color: #000000;\">2\nArkansas<\/span> <span style=\"color: #000000;\">8.8 190 50<\/span> <span style=\"color: #000000;\">19.5<\/span> <span style=\"color: #000000;\">4\nCalifornia<\/span> <span style=\"color: #000000;\">9.0 276 91<\/span> <span style=\"color: #000000;\">40.6<\/span> <span style=\"color: #000000;\">2\nColorado<\/span> <span style=\"color: #000000;\">7.9 204 78<\/span> <span style=\"color: #000000;\">38.7<\/span> <span style=\"color: #000000;\">2\n<\/span><\/span><\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>K-Means \ud074\ub7ec\uc2a4\ud130\ub9c1\uc758 \uc7a5\uc810\uacfc \ub2e8\uc810<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">K-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ub2e4\uc74c\uacfc \uac19\uc740 \uc774\uc810\uc744 \uc81c\uacf5\ud569\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\ube60\ub978 \uc54c\uace0\ub9ac\uc998\uc785\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\ub300\uaddc\ubaa8 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc798 \ucc98\ub9ac\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">\uadf8\ub7ec\ub098 \ub2e4\uc74c\uacfc \uac19\uc740 \uc7a0\uc7ac\uc801\uc778 \ub2e8\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n<ul>\n<li> <span style=\"color: #000000;\">\uc774\ub97c \uc704\ud574\uc11c\ub294 \uc54c\uace0\ub9ac\uc998\uc744 \uc2e4\ud589\ud558\uae30 \uc804\uc5d0 \ud074\ub7ec\uc2a4\ud130 \uc218\ub97c \uc9c0\uc815\ud574\uc57c \ud569\ub2c8\ub2e4.<\/span><\/li>\n<li> <span style=\"color: #000000;\">\uc774\uc0c1\uac12\uc5d0 \ubbfc\uac10\ud569\ub2c8\ub2e4.<\/span><\/li>\n<\/ul>\n<p> <span style=\"color: #000000;\">k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc5d0 \ub300\ud55c \ub450 \uac00\uc9c0 \ub300\uc548\uc740 <a href=\"https:\/\/statorials.org\/ko\/r\u110b\u1174-k\u1100\u1162\u110b\u1174-\u1106\u1166\u1103\u1175\u110b\u1175\u1103\u1173\/\" target=\"_blank\" rel=\"noopener noreferrer\">k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1<\/a> \uacfc \uacc4\uce35\uc801 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc785\ub2c8\ub2e4.<\/span><\/p>\n<hr>\n<p> <span style=\"color: #000000;\">\uc774 \uc608\uc81c\uc5d0 \uc0ac\uc6a9\ub41c \uc804\uccb4 R \ucf54\ub4dc\ub294 <a href=\"https:\/\/github.com\/Statorials\/R-Guides\/blob\/main\/k_means.R\" target=\"_blank\" rel=\"noopener noreferrer\">\uc5ec\uae30\uc5d0\uc11c<\/a> \ucc3e\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ub370\uc774\ud130 \uc138\ud2b8 \ub0b4\uc5d0\uc11c \uad00\ucc30 \uadf8\ub8f9\uc744 \ucc3e\uc73c\ub824\uace0 \uc2dc\ub3c4\ud558\ub294 \uae30\uacc4 \ud559\uc2b5 \uae30\uc220\uc785\ub2c8\ub2e4. \ubaa9\ud45c\ub294 \uac01 \uad70\uc9d1 \ub0b4\uc758 \uad00\uce21\uac12\uc774 \uc11c\ub85c \ub9e4\uc6b0 \uc720\uc0ac\ud55c \ubc18\uba74, \ub2e4\ub978 \uad70\uc9d1\uc758 \uad00\uce21\uac12\uc740 \uc11c\ub85c \uc0c1\ub2f9\ud788 \ub2e4\ub978 \uad70\uc9d1\uc744 \ucc3e\ub294 \uac83\uc785\ub2c8\ub2e4. \ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \ube44\uc9c0\ub3c4 \ud559\uc2b5 \uc758 \ud55c \ud615\ud0dc\uc785\ub2c8\ub2e4 . \uc751\ub2f5 \ubcc0\uc218 \uc758 \uac12\uc744 \uc608\uce21\ud558\ub294 \uac83\uc774 \uc544\ub2c8\ub77c \ub2e8\uc21c\ud788 \ub370\uc774\ud130 \uc138\ud2b8 \ub0b4\uc5d0\uc11c \uad6c\uc870\ub97c \ucc3e\uc73c\ub824\uace0 \ud558\uae30 \ub54c\ubb38\uc785\ub2c8\ub2e4. \ud074\ub7ec\uc2a4\ud130\ub9c1\uc740 \uae30\uc5c5\uc774 \ub2e4\uc74c\uacfc \uac19\uc740 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":["post-1242","post","type-post","status-publish","format-standard","hentry","category-20"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R\uc758 K-\ud3c9\uade0 \uad70\uc9d1\ud654: \ub2e8\uacc4\ubcc4 \uc608 - \ud1b5\uacc4\ud559<\/title>\n<meta name=\"description\" content=\"\uc774 \ud29c\ud1a0\ub9ac\uc5bc\uc5d0\uc11c\ub294 R\uc5d0\uc11c k-\ud3c9\uade0 \ud074\ub7ec\uc2a4\ud130\ub9c1\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc5d0 \ub300\ud55c \ub2e8\uacc4\ubcc4 \uc608\ub97c \uc81c\uacf5\ud569\ub2c8\ub2e4.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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