{"id":476290,"date":"2023-08-09T07:28:31","date_gmt":"2023-08-09T07:28:31","guid":{"rendered":""},"modified":"2023-09-05T11:12:25","modified_gmt":"2023-09-05T11:12:25","slug":"clustering","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/clustering\/","title":{"rendered":"\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0"},"content":{"rendered":"<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u7279\u5b9a\u306e\u57fa\u6e96\u306b\u57fa\u3065\u3044\u3066\u985e\u4f3c\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3084\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3059\u308b\u305f\u3081\u306b\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u4f7f\u7528\u3055\u308c\u308b\u5f37\u529b\u306a\u624b\u6cd5\u3067\u3059\u3002\u30c7\u30fc\u30bf\u5206\u6790\u3001\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3001\u6a5f\u68b0\u5b66\u7fd2\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7ba1\u7406\u3067\u3088\u304f\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u30d7\u30ed\u30bb\u30b9\u306e\u52b9\u7387\u3092\u9ad8\u3081\u3001\u8cb4\u91cd\u306a\u6d1e\u5bdf\u3092\u63d0\u4f9b\u3057\u3001\u8907\u96d1\u306a\u30b7\u30b9\u30c6\u30e0\u306b\u304a\u3051\u308b\u610f\u601d\u6c7a\u5b9a\u3092\u652f\u63f4\u3059\u308b\u4e0a\u3067\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u8d77\u6e90\u306e\u6b74\u53f2\u3068\u305d\u308c\u306b\u3064\u3044\u3066\u306e\u6700\u521d\u306e\u8a00\u53ca\u3002<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u6982\u5ff5\u306f\u3001\u4eba\u9593\u304c\u81ea\u7136\u306b\u30a2\u30a4\u30c6\u30e0\u3092\u305d\u306e\u7279\u6027\u306b\u57fa\u3065\u3044\u3066\u30b0\u30eb\u30fc\u30d7\u306b\u5206\u985e\u3057\u305f\u53e4\u4ee3\u306b\u307e\u3067\u9061\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u6b63\u5f0f\u306a\u7814\u7a76\u306f\u3001\u7d71\u8a08\u3068\u6570\u5b66\u7684\u624b\u6cd5\u306e\u5c0e\u5165\u306b\u3088\u308a 20 \u4e16\u7d00\u521d\u982d\u306b\u767b\u5834\u3057\u307e\u3057\u305f\u3002\u6ce8\u76ee\u3059\u3079\u304d\u3053\u3068\u306b\u3001\u300c\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u300d\u3068\u3044\u3046\u7528\u8a9e\u306f\u3001\u30a2\u30e1\u30ea\u30ab\u306e\u907a\u4f1d\u5b66\u8005\u3067\u3042\u308b\u30b7\u30e5\u30fc\u30a6\u30a9\u30fc\u30eb\u30fb\u30e9\u30a4\u30c8\u306b\u3088\u3063\u3066\u3001\u9032\u5316\u751f\u7269\u5b66\u306b\u95a2\u3059\u308b 1932 \u5e74\u306e\u8ad6\u6587\u3067\u521d\u3081\u3066\u79d1\u5b66\u7684\u306a\u6587\u8108\u3067\u8a00\u53ca\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831\u3002\u30c8\u30d4\u30c3\u30af\u300c\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u300d\u3092\u5c55\u958b\u3057\u307e\u3059\u3002<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u4e3b\u306b\u3001\u660e\u793a\u7684\u306b\u30e9\u30d9\u30eb\u4ed8\u3051\u3055\u308c\u3066\u3044\u306a\u3044\u30c7\u30fc\u30bf\u5185\u306e\u985e\u4f3c\u6027\u3084\u95a2\u9023\u6027\u3092\u8b58\u5225\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002\u3053\u308c\u306b\u306f\u3001\u5404\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u304c\u4ed6\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3088\u308a\u3082\u76f8\u4e92\u306b\u985e\u4f3c\u3059\u308b\u3088\u3046\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u3068\u547c\u3070\u308c\u308b\u30b5\u30d6\u30bb\u30c3\u30c8\u306b\u5206\u5272\u3059\u308b\u3053\u3068\u304c\u542b\u307e\u308c\u307e\u3059\u3002\u76ee\u7684\u306f\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306e\u985e\u4f3c\u6027\u3092\u6700\u5927\u5316\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u9593\u306e\u985e\u4f3c\u6027\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u308b\u3053\u3068\u3067\u3059\u3002<\/p>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u306f\u3055\u307e\u3056\u307e\u306a\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u3042\u308a\u3001\u305d\u308c\u305e\u308c\u306b\u72ec\u81ea\u306e\u9577\u6240\u3068\u77ed\u6240\u304c\u3042\u308a\u307e\u3059\u3002\u4eba\u6c17\u306e\u3042\u308b\u3082\u306e\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>K \u306e\u610f\u5473:<\/strong> \u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092\u6700\u3082\u8fd1\u3044\u30af\u30e9\u30b9\u30bf\u30fc \u30bb\u30f3\u30bf\u30fc\u306b\u7e70\u308a\u8fd4\u3057\u5272\u308a\u5f53\u3066\u3001\u53ce\u675f\u3059\u308b\u307e\u3067\u91cd\u5fc3\u3092\u518d\u8a08\u7b97\u3059\u308b\u91cd\u5fc3\u30d9\u30fc\u30b9\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3002<\/li>\n<li><strong>\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u65e2\u5b58\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u30de\u30fc\u30b8\u307e\u305f\u306f\u5206\u5272\u3092\u7e70\u308a\u8fd4\u3057\u3066\u3001\u30cd\u30b9\u30c8\u3055\u308c\u305f\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u30c4\u30ea\u30fc\u72b6\u69cb\u9020\u3092\u69cb\u7bc9\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u5bc6\u5ea6\u30d9\u30fc\u30b9\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 (DBSCAN):<\/strong> \u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u306e\u5bc6\u5ea6\u306b\u57fa\u3065\u3044\u3066\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u5f62\u6210\u3057\u3001\u5916\u308c\u5024\u3092\u30ce\u30a4\u30ba\u3068\u3057\u3066\u8b58\u5225\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u671f\u5f85\u6700\u5927\u5316 (EM):<\/strong> \u7d71\u8a08\u30e2\u30c7\u30eb\u3001\u7279\u306b\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb (GMM) \u3092\u4f7f\u7528\u3057\u3066\u30c7\u30fc\u30bf\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u307e\u3059\u3002<\/li>\n<li><strong>\u51dd\u96c6\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u500b\u3005\u306e\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304b\u3089\u958b\u59cb\u3057\u3066\u305d\u308c\u3089\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u30de\u30fc\u30b8\u3059\u308b\u30dc\u30c8\u30e0\u30a2\u30c3\u30d7\u968e\u5c64\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u4f8b\u3002<\/li>\n<\/ol>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u5185\u90e8\u69cb\u9020\u3002\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u4ed5\u7d44\u307f\u3002<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u4e00\u822c\u7684\u306a\u30d7\u30ed\u30bb\u30b9\u306b\u5f93\u3063\u3066\u30c7\u30fc\u30bf\u3092\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u521d\u671f\u5316:<\/strong> \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u4f7f\u7528\u3055\u308c\u308b\u65b9\u6cd5\u306b\u5fdc\u3058\u3066\u3001\u521d\u671f\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u91cd\u5fc3\u307e\u305f\u306f\u30b7\u30fc\u30c9\u3092\u9078\u629e\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5272\u308a\u5f53\u3066\uff1a<\/strong> \u5404\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u306f\u3001\u30e6\u30fc\u30af\u30ea\u30c3\u30c9\u8ddd\u96e2\u306a\u3069\u306e\u8ddd\u96e2\u30e1\u30c8\u30ea\u30c3\u30af\u306b\u57fa\u3065\u3044\u3066\u6700\u3082\u8fd1\u3044\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u3089\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a2\u30c3\u30d7\u30c7\u30fc\u30c8\uff1a<\/strong> \u30af\u30e9\u30b9\u30bf\u30fc\u306e\u91cd\u5fc3\u306f\u3001\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u306e\u73fe\u5728\u306e\u5272\u308a\u5f53\u3066\u306b\u57fa\u3065\u3044\u3066\u518d\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u53ce\u675f\uff1a<\/strong> \u5272\u308a\u5f53\u3066\u304a\u3088\u3073\u66f4\u65b0\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u3001\u53ce\u675f\u57fa\u6e96\u304c\u6e80\u305f\u3055\u308c\u308b\u307e\u3067\u7e70\u308a\u8fd4\u3055\u308c\u307e\u3059\uff08\u305f\u3068\u3048\u3070\u3001\u305d\u308c\u4ee5\u4e0a\u306e\u518d\u5272\u308a\u5f53\u3066\u304c\u884c\u308f\u308c\u306a\u3044\u3001\u307e\u305f\u306f\u91cd\u5fc3\u306e\u79fb\u52d5\u304c\u6700\u5c0f\u9650\u306b\u306a\u308b\uff09\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7d42\u4e86\uff1a<\/strong> \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u53ce\u675f\u57fa\u6e96\u304c\u6e80\u305f\u3055\u308c\u308b\u3068\u505c\u6b62\u3057\u3001\u6700\u7d42\u7684\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u304c\u53d6\u5f97\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u4e3b\u8981\u306a\u6a5f\u80fd\u306e\u5206\u6790\u3002<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u306f\u3001\u30c7\u30fc\u30bf\u5206\u6790\u306b\u304a\u3051\u308b\u8cb4\u91cd\u306a\u30c4\u30fc\u30eb\u3068\u306a\u308b\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u6559\u5e2b\u306a\u3057\u5b66\u7fd2:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u306f\u30e9\u30d9\u30eb\u4ed8\u304d\u30c7\u30fc\u30bf\u304c\u5fc5\u8981\u306a\u3044\u305f\u3081\u3001\u30e9\u30d9\u30eb\u306a\u3057\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u57fa\u790e\u3068\u306a\u308b\u30d1\u30bf\u30fc\u30f3\u3092\u767a\u898b\u3059\u308b\u306e\u306b\u9069\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3:<\/strong> \u6700\u65b0\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3067\u304d\u308b\u3088\u3046\u306b\u8a2d\u8a08\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u67d4\u8edf\u6027:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3055\u307e\u3056\u307e\u306a\u30c7\u30fc\u30bf \u30bf\u30a4\u30d7\u3068\u8ddd\u96e2\u30e1\u30c8\u30ea\u30c3\u30af\u306b\u5bfe\u5fdc\u3067\u304d\u308b\u305f\u3081\u3001\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u306b\u9069\u7528\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7570\u5e38\u691c\u51fa:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u5916\u308c\u5024\u306e\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3084\u7570\u5e38\u3092\u7279\u5b9a\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u89e3\u91c8\u53ef\u80fd\u6027:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u7d50\u679c\u306f\u3001\u30c7\u30fc\u30bf\u306e\u69cb\u9020\u306b\u95a2\u3059\u308b\u6709\u610f\u7fa9\u306a\u6d1e\u5bdf\u3092\u63d0\u4f9b\u3057\u3001\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u3092\u652f\u63f4\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u7a2e\u985e<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u57fa\u6e96\u306b\u57fa\u3065\u3044\u3066\u3044\u304f\u3064\u304b\u306e\u30bf\u30a4\u30d7\u306b\u5206\u985e\u3067\u304d\u307e\u3059\u3002\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u4e3b\u306a\u30bf\u30a4\u30d7\u3092\u4ee5\u4e0b\u306b\u793a\u3057\u307e\u3059\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u30bf\u30a4\u30d7<\/th>\n<th>\u8aac\u660e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30d1\u30fc\u30c6\u30a3\u30b7\u30e7\u30cb\u30f3\u30b0 \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf\u3092\u91cd\u8907\u3057\u306a\u3044\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5206\u5272\u3057\u3001\u5404\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092 1 \u3064\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u307e\u3059\u3002\u4f8b\u3068\u3057\u3066\u306f\u3001K \u5e73\u5747\u6cd5\u3084 K \u30e1\u30c9\u30a4\u30c9\u6cd5\u306a\u3069\u304c\u3042\u308a\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30af\u30e9\u30b9\u30bf\u30fc\u304c\u3088\u308a\u5927\u304d\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u5185\u306b\u30cd\u30b9\u30c8\u3055\u308c\u308b\u3001\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u30c4\u30ea\u30fc\u72b6\u69cb\u9020\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u5bc6\u5ea6\u30d9\u30fc\u30b9\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u306e\u5bc6\u5ea6\u306b\u57fa\u3065\u3044\u3066\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u5f62\u6210\u3057\u3001\u4efb\u610f\u306e\u5f62\u72b6\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002\u4f8b: DBSCAN\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30e2\u30c7\u30eb\u30d9\u30fc\u30b9\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf\u306f\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb (GMM) \u306a\u3069\u306e\u78ba\u7387\u5206\u5e03\u306e\u6df7\u5408\u304b\u3089\u751f\u6210\u3055\u308c\u308b\u3068\u4eee\u5b9a\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30d5\u30a1\u30b8\u30fc\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u3055\u307e\u3056\u307e\u306a\u30e1\u30f3\u30d0\u30fc\u30b7\u30c3\u30d7\u5ea6\u3092\u6301\u3064\u8907\u6570\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5c5e\u3059\u308b\u3053\u3068\u3092\u8a31\u53ef\u3057\u307e\u3059\u3002\u4f8b: \u30d5\u30a1\u30b8\u30fc C \u5e73\u5747\u6cd5\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u4f7f\u3044\u65b9\u3068\u305d\u306e\u554f\u984c\u70b9\u3068\u305d\u306e\u89e3\u6c7a\u7b56\u3002<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u696d\u754c\u306b\u308f\u305f\u3063\u3066\u5e45\u5e83\u3044\u7528\u9014\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u9867\u5ba2\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3:<\/strong> \u4f01\u696d\u306f\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3057\u3066\u3001\u8cfc\u5165\u884c\u52d5\u3001\u597d\u307f\u3001\u4eba\u53e3\u7d71\u8a08\u306b\u57fa\u3065\u3044\u3066\u500b\u5225\u306e\u9867\u5ba2\u30bb\u30b0\u30e1\u30f3\u30c8\u3092\u7279\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u753b\u50cf\u306e\u5206\u5272:<\/strong> \u753b\u50cf\u51e6\u7406\u3067\u306f\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3057\u3066\u753b\u50cf\u3092\u610f\u5473\u306e\u3042\u308b\u9818\u57df\u306b\u5206\u5272\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u7570\u5e38\u691c\u51fa:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u3084\u91d1\u878d\u53d6\u5f15\u306b\u304a\u3051\u308b\u7570\u5e38\u306a\u30d1\u30bf\u30fc\u30f3\u3084\u7570\u5e38\u5024\u3092\u7279\u5b9a\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8\u3092\u95a2\u9023\u30b0\u30eb\u30fc\u30d7\u306b\u6574\u7406\u3057\u3066\u3001\u52b9\u7387\u7684\u306b\u60c5\u5831\u3092\u691c\u7d22\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<p>\u305f\u3060\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u6b21\u306e\u3088\u3046\u306a\u8ab2\u984c\u306b\u76f4\u9762\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ul>\n<li>\n<p><strong>\u9069\u5207\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u306e\u9078\u629e:<\/strong> \u6700\u9069\u306a\u30af\u30e9\u30b9\u30bf\u30fc\u6570\u306e\u6c7a\u5b9a\u306f\u4e3b\u89b3\u7684\u306a\u3082\u306e\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001\u7d50\u679c\u306e\u54c1\u8cea\u306b\u3068\u3063\u3066\u975e\u5e38\u306b\u91cd\u8981\u3067\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u9ad8\u6b21\u5143\u30c7\u30fc\u30bf\u306e\u51e6\u7406:<\/strong> \u9ad8\u6b21\u5143\u30c7\u30fc\u30bf\u3067\u306f\u3001\u300c\u6b21\u5143\u306e\u546a\u3044\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u304c\u4f4e\u4e0b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u521d\u671f\u5316\u306b\u654f\u611f:<\/strong> \u4e00\u90e8\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u7d50\u679c\u306f\u521d\u671f\u30b7\u30fc\u30c9 \u30dd\u30a4\u30f3\u30c8\u306b\u4f9d\u5b58\u3057\u3001\u3055\u307e\u3056\u307e\u306a\u7d50\u679c\u304c\u751f\u3058\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ul>\n<p>\u3053\u308c\u3089\u306e\u8ab2\u984c\u306b\u5bfe\u51e6\u3059\u308b\u305f\u3081\u306b\u3001\u7814\u7a76\u8005\u306f\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u7cbe\u5ea6\u3068\u5805\u7262\u6027\u3092\u5f37\u5316\u3059\u308b\u305f\u3081\u306e\u65b0\u3057\u3044\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3001\u521d\u671f\u5316\u624b\u6cd5\u3001\u8a55\u4fa1\u30e1\u30c8\u30ea\u30af\u30b9\u3092\u7d99\u7d9a\u7684\u306b\u958b\u767a\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3084\u305d\u306e\u4ed6\u306e\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03\u3092\u8868\u3084\u30ea\u30b9\u30c8\u306e\u5f62\u5f0f\u3067\u793a\u3057\u307e\u3059\u3002<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u5206\u985e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3067\u306f\u3001\u4e8b\u524d\u306e\u30af\u30e9\u30b9 \u30e9\u30d9\u30eb\u3092\u4f7f\u7528\u305b\u305a\u306b\u3001\u985e\u4f3c\u6027\u306b\u57fa\u3065\u3044\u3066\u30c7\u30fc\u30bf\u3092\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u5206\u985e\u3067\u306f\u3001\u30e9\u30d9\u30eb\u4ed8\u304d\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 \u30c7\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092\u4e8b\u524d\u5b9a\u7fa9\u3055\u308c\u305f\u30af\u30e9\u30b9\u306b\u5272\u308a\u5f53\u3066\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table>\n<thead>\n<tr>\n<th>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u30a2\u30bd\u30b7\u30a8\u30fc\u30b7\u30e7\u30f3 \u30eb\u30fc\u30eb \u30de\u30a4\u30cb\u30f3\u30b0<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u985e\u4f3c\u306e\u30a2\u30a4\u30c6\u30e0\u3092\u305d\u306e\u7279\u5fb4\u3084\u5c5e\u6027\u306b\u57fa\u3065\u3044\u3066\u30b0\u30eb\u30fc\u30d7\u5316\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u30a2\u30bd\u30b7\u30a8\u30fc\u30b7\u30e7\u30f3 \u30eb\u30fc\u30eb \u30de\u30a4\u30cb\u30f3\u30b0\u306f\u3001\u30c8\u30e9\u30f3\u30b6\u30af\u30b7\u30e7\u30f3 \u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u30a2\u30a4\u30c6\u30e0\u9593\u306e\u8208\u5473\u6df1\u3044\u95a2\u4fc2\u3092\u767a\u898b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table>\n<thead>\n<tr>\n<th>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u6b21\u5143\u524a\u6e1b<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u30c7\u30fc\u30bf\u3092\u30b0\u30eb\u30fc\u30d7\u306b\u7de8\u6210\u3057\u3001\u5206\u6790\u306e\u305f\u3081\u306e\u69cb\u9020\u3092\u7c21\u7d20\u5316\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u6b21\u5143\u524a\u6e1b\u3067\u306f\u3001\u30c7\u30fc\u30bf\u306e\u56fa\u6709\u306e\u69cb\u9020\u3092\u7dad\u6301\u3057\u306a\u304c\u3089\u3001\u30c7\u30fc\u30bf\u306e\u6b21\u5143\u3092\u524a\u6e1b\u3057\u307e\u3059\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u9023\u3059\u308b\u5c06\u6765\u306e\u5c55\u671b\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3002<\/h2>\n<p>\u3053\u306e\u5206\u91ce\u3067\u306f\u7d99\u7d9a\u7684\u306a\u7814\u7a76\u3068\u9032\u6b69\u304c\u3042\u308a\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u5c06\u6765\u306f\u6709\u671b\u3067\u3059\u3002\u4e3b\u8981\u306a\u30c8\u30ec\u30f3\u30c9\u3068\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2:<\/strong> \u6df1\u5c64\u5b66\u7fd2\u6280\u8853\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306b\u7d71\u5408\u3057\u3066\u3001\u8907\u96d1\u3067\u9ad8\u6b21\u5143\u306e\u30c7\u30fc\u30bf\u3092\u3088\u308a\u52b9\u679c\u7684\u306b\u51e6\u7406\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u30bd\u30fc\u30b7\u30e3\u30eb \u30e1\u30c7\u30a3\u30a2\u5206\u6790\u3084\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u76e3\u8996\u306a\u3069\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u5411\u3051\u306b\u3001\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0 \u30c7\u30fc\u30bf\u3092\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u52b9\u7387\u7684\u306b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3067\u304d\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u958b\u767a\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u4fdd\u8b77\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u6a5f\u5bc6\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u5b9f\u884c\u3057\u306a\u304c\u3089\u30c7\u30fc\u30bf\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3092\u78ba\u4fdd\u3057\u3001\u533b\u7642\u696d\u754c\u3084\u91d1\u878d\u696d\u754c\u306b\u9069\u3057\u305f\u3082\u306e\u306b\u3057\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u30a8\u30c3\u30b8 \u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306b\u304a\u3051\u308b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u30a8\u30c3\u30b8 \u30c7\u30d0\u30a4\u30b9\u306b\u76f4\u63a5\u5c55\u958b\u3057\u3066\u3001\u30c7\u30fc\u30bf\u9001\u4fe1\u3092\u6700\u5c0f\u9650\u306b\u6291\u3048\u3001\u52b9\u7387\u3092\u5411\u4e0a\u3055\u305b\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u3001\u307e\u305f\u306f\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5\u3002<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30a4\u30f3\u30bf\u30fc\u30cd\u30c3\u30c8\u306e\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u7ba1\u7406\u306b\u304a\u3044\u3066\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3057\u307e\u3059\u3002\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3068\u95a2\u9023\u4ed8\u3051\u308b\u3068\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u30d1\u30d5\u30a9\u30fc\u30de\u30f3\u30b9\u3068\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3\u3092\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<ol>\n<li>\n<p><strong>\u8ca0\u8377\u5206\u6563:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u3068\u3001\u53d7\u4fe1\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u3092\u8907\u6570\u306e\u30b5\u30fc\u30d0\u30fc\u306b\u5206\u6563\u3057\u3066\u3001\u30ea\u30bd\u30fc\u30b9\u306e\u4f7f\u7528\u7387\u3092\u6700\u9069\u5316\u3057\u3001\u904e\u8ca0\u8377\u3092\u9632\u3050\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5730\u7406\u7684\u306b\u5206\u6563\u3055\u308c\u305f\u30d7\u30ed\u30ad\u30b7:<\/strong> \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u3088\u308a\u3001\u8907\u6570\u306e\u5834\u6240\u306b\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u5c55\u958b\u3067\u304d\u308b\u305f\u3081\u3001\u4e16\u754c\u4e2d\u306e\u30e6\u30fc\u30b6\u30fc\u306e\u53ef\u7528\u6027\u304c\u5411\u4e0a\u3057\u3001\u9045\u5ef6\u304c\u77ed\u7e2e\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u533f\u540d\u6027\u3068\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u4f7f\u7528\u3057\u3066\u533f\u540d\u30d7\u30ed\u30ad\u30b7\u306e\u30d7\u30fc\u30eb\u3092\u4f5c\u6210\u3057\u3001\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3068\u8ffd\u8de1\u306b\u5bfe\u3059\u308b\u4fdd\u8b77\u3092\u5f37\u5316\u3067\u304d\u307e\u3059\u3002<\/p>\n<\/li>\n<li>\n<p><strong>\u5197\u9577\u6027\u3068\u8010\u969c\u5bb3\u6027:<\/strong> \u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3092\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u3068\u3001\u30b7\u30fc\u30e0\u30ec\u30b9\u306a\u30d5\u30a7\u30a4\u30eb\u30aa\u30fc\u30d0\u30fc\u3068\u5197\u9577\u6027\u304c\u53ef\u80fd\u306b\u306a\u308a\u3001\u30b5\u30fc\u30d0\u30fc\u969c\u5bb3\u304c\u767a\u751f\u3057\u305f\u5834\u5408\u3067\u3082\u7d99\u7d9a\u7684\u306a\u30b5\u30fc\u30d3\u30b9\u53ef\u7528\u6027\u304c\u78ba\u4fdd\u3055\u308c\u307e\u3059\u3002<\/p>\n<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u78ba\u8a8d\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ol>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/clustering.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-learn \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n<li><a href=\"https:\/\/towardsdatascience.com\/k-means-clustering-explained-419c8bd2ebc3\" target=\"_new\" rel=\"noopener nofollow\">K-means \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u8aac\u660e<\/a><\/li>\n<li><a href=\"https:\/\/www.aaai.org\/Papers\/KDD\/1996\/KDD96-037.pdf\" target=\"_new\" rel=\"noopener nofollow\">DBSCAN: \u5bc6\u5ea6\u30d9\u30fc\u30b9\u306e\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/a><\/li>\n<li><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/35367.35368\" target=\"_new\" rel=\"noopener nofollow\">\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0: \u6982\u5ff5\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u5411\u3051\u3066<\/a><\/li>\n<\/ol>\n<p>\u7d50\u8ad6\u3068\u3057\u3066\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30c9\u30e1\u30a4\u30f3\u3067\u591a\u6570\u306e\u7528\u9014\u306b\u4f7f\u7528\u3067\u304d\u308b\u591a\u7528\u9014\u304b\u3064\u5f37\u529b\u306a\u6280\u8853\u3067\u3059\u3002\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u304c\u9032\u5316\u3057\u7d9a\u3051\u308b\u306b\u3064\u308c\u3066\u3001\u30c7\u30fc\u30bf\u5206\u6790\u3001\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3001\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u306b\u304a\u3044\u3066\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u304c\u307e\u3059\u307e\u3059\u91cd\u8981\u306a\u5f79\u5272\u3092\u679c\u305f\u3059\u3053\u3068\u304c\u4e88\u60f3\u3055\u308c\u307e\u3059\u3002\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u3068\u7d44\u307f\u5408\u308f\u305b\u308b\u3068\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306f\u52b9\u7387\u3001\u30d7\u30e9\u30a4\u30d0\u30b7\u30fc\u3001\u30d5\u30a9\u30fc\u30eb\u30c8 \u30c8\u30ec\u30e9\u30f3\u30b9\u3092\u3055\u3089\u306b\u5f37\u5316\u3067\u304d\u308b\u305f\u3081\u3001\u73fe\u4ee3\u306e\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u74b0\u5883\u3067\u306f\u4e0d\u53ef\u6b20\u306a\u30c4\u30fc\u30eb\u306b\u306a\u308a\u307e\u3059\u3002<\/p>","protected":false},"featured_media":467889,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-476290","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Clustering: An In-Depth Analysis<\/mark>","faq_items":[{"question":"What is clustering, and how does it work?","answer":"<p>Clustering is a powerful technique used in data analysis to group similar objects together based on certain criteria. It involves partitioning a dataset into subsets, known as clusters, where objects within each cluster are more similar to each other than to those in other clusters. Clustering algorithms follow a process of initialization, assignment, update, convergence, and termination to achieve these groupings effectively.<\/p>"},{"question":"What is the history of clustering, and when was it first mentioned?","answer":"<p>The concept of clustering can be traced back to ancient times when humans naturally organized items into groups based on their characteristics. However, the formal study of clustering began in the early 20th century with the advent of statistics and mathematical techniques. The term \"clustering\" was first mentioned in a scientific context by Sewall Wright, an American geneticist, in his 1932 paper on evolutionary biology.<\/p>"},{"question":"What are the key features of clustering that make it valuable?","answer":"<p>Clustering has several key features that make it a valuable tool in data analysis:<\/p><ol><li><strong>Unsupervised Learning:<\/strong> Clustering does not require labeled data, making it suitable for discovering patterns in unlabeled datasets.<\/li><li><strong>Scalability:<\/strong> Modern clustering algorithms are designed to handle large datasets efficiently.<\/li><li><strong>Flexibility:<\/strong> Clustering can accommodate various data types and distance metrics, making it applicable in diverse domains.<\/li><li><strong>Anomaly Detection:<\/strong> Clustering can be used to identify outlier data points or anomalies within a dataset.<\/li><li><strong>Interpretability:<\/strong> Clustering results can provide meaningful insights into the structure of the data and aid decision-making processes.<\/li><\/ol>"},{"question":"What are the different types of clustering?","answer":"<p>Clustering can be categorized into several types based on different criteria:<\/p><ol><li><strong>Partitioning Clustering:<\/strong> Divides data into non-overlapping clusters, with each data point assigned to exactly one cluster. Examples include K-means and K-medoids.<\/li><li><strong>Hierarchical Clustering:<\/strong> Creates a tree-like structure of clusters, where clusters are nested within larger clusters.<\/li><li><strong>Density-based Clustering:<\/strong> Forms clusters based on the density of data points, allowing for arbitrary shaped clusters. Example: DBSCAN.<\/li><li><strong>Model-based Clustering:<\/strong> Assumes that data is generated from a mixture of probability distributions, such as Gaussian Mixture Models (GMM).<\/li><li><strong>Fuzzy Clustering:<\/strong> Allows data points to belong to multiple clusters with varying degrees of membership. Example: Fuzzy C-means.<\/li><\/ol>"},{"question":"What are the common challenges in clustering?","answer":"<p>Clustering can face challenges, such as:<\/p><ul><li><strong>Choosing the Right Number of Clusters:<\/strong> Determining the optimal number of clusters can be subjective and crucial to the quality of results.<\/li><li><strong>Handling High-Dimensional Data:<\/strong> Clustering performance can degrade with high-dimensional data, known as the \"Curse of Dimensionality.\"<\/li><li><strong>Sensitive to Initialization:<\/strong> Some clustering algorithms' outcomes can depend on the initial seed points, leading to varying results.<\/li><\/ul>"},{"question":"How can clustering be used with proxy servers?","answer":"<p>When associated with proxy servers, clustering can offer enhanced performance and privacy:<\/p><ol><li><strong>Load Balancing:<\/strong> Clustering proxy servers can distribute incoming traffic among multiple servers, optimizing resource utilization and preventing overloads.<\/li><li><strong>Geo-Distributed Proxies:<\/strong> Clustering allows for the deployment of proxy servers in multiple locations, ensuring better availability and reduced latency for users worldwide.<\/li><li><strong>Anonymity and Privacy:<\/strong> Clustering proxy servers can be used to create a pool of anonymous proxies, providing increased privacy and protection against tracking.<\/li><li><strong>Redundancy and Fault Tolerance:<\/strong> Clustering proxy servers enable seamless failover and redundancy, ensuring continuous service availability even in case of server failures.<\/li><\/ol>"},{"question":"What are the future perspectives and technologies related to clustering?","answer":"<p>The future of clustering looks promising, with ongoing research and advancements in the field:<\/p><ol><li><strong>Deep Learning for Clustering:<\/strong> Integrating deep learning techniques into clustering algorithms to handle complex and high-dimensional data more effectively.<\/li><li><strong>Streaming Clustering:<\/strong> Developing algorithms that can efficiently cluster streaming data in real-time for applications like social media analysis and network monitoring.<\/li><li><strong>Privacy-Preserving Clustering:<\/strong> Ensuring data privacy while performing clustering on sensitive datasets, making it suitable for healthcare and financial industries.<\/li><li><strong>Clustering in Edge Computing:<\/strong> Deploying clustering algorithms directly on edge devices to minimize data transmission and improve efficiency.<\/li><\/ol>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476290","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/476290\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/467889"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=476290"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}