{"id":477327,"date":"2023-08-09T09:11:08","date_gmt":"2023-08-09T09:11:08","guid":{"rendered":""},"modified":"2023-11-30T03:40:47","modified_gmt":"2023-11-30T03:40:47","slug":"gaussian-mixture-models","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/jp\/wiki\/gaussian-mixture-models\/","title":{"rendered":"\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb"},"content":{"rendered":"<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb (GMM) \u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3084\u30c7\u30fc\u30bf\u5206\u6790\u3067\u4f7f\u7528\u3055\u308c\u308b\u5f37\u529b\u306a\u7d71\u8a08\u30c4\u30fc\u30eb\u3067\u3059\u3002\u78ba\u7387\u30e2\u30c7\u30eb\u306e\u30af\u30e9\u30b9\u306b\u5c5e\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3001\u5bc6\u5ea6\u63a8\u5b9a\u3001\u5206\u985e\u30bf\u30b9\u30af\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002GMM \u306f\u3001\u30ac\u30a6\u30b9\u5206\u5e03\u306a\u3069\u306e\u5358\u4e00\u6210\u5206\u5206\u5e03\u3067\u306f\u7c21\u5358\u306b\u30e2\u30c7\u30eb\u5316\u3067\u304d\u306a\u3044\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u5206\u5e03\u3092\u51e6\u7406\u3059\u308b\u5834\u5408\u306b\u7279\u306b\u52b9\u679c\u7684\u3067\u3059\u3002<\/p>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u8d77\u6e90\u3068\u305d\u306e\u6700\u521d\u306e\u8a00\u53ca\u306e\u6b74\u53f2<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u6982\u5ff5\u306f\u3001\u30ab\u30fc\u30eb\u30fb\u30d5\u30ea\u30fc\u30c9\u30ea\u30d2\u30fb\u30ac\u30a6\u30b9\u304c\u6b63\u898f\u5206\u5e03\u3068\u3057\u3066\u3082\u77e5\u3089\u308c\u308b\u30ac\u30a6\u30b9\u5206\u5e03\u3092\u958b\u767a\u3057\u305f 1800 \u5e74\u4ee3\u521d\u982d\u306b\u307e\u3067\u9061\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305f\u3060\u3057\u3001\u78ba\u7387\u30e2\u30c7\u30eb\u3068\u3057\u3066\u306e GMM \u306e\u660e\u793a\u7684\u306a\u5b9a\u5f0f\u5316\u306f\u30011941 \u5e74\u306b\u8907\u7d20\u5909\u6570\u7406\u8ad6\u306b\u95a2\u3059\u308b\u7814\u7a76\u3067\u6df7\u5408\u6b63\u898f\u5206\u5e03\u306e\u6982\u5ff5\u306b\u8a00\u53ca\u3057\u305f\u30a2\u30fc\u30b5\u30fc\u30fb\u30a8\u30eb\u30c7\u30a4\u306b\u3088\u308b\u3082\u306e\u3067\u3059\u3002\u305d\u306e\u5f8c\u30011969 \u5e74\u306b\u671f\u5f85\u5024\u6700\u5927\u5316 (EM) \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u304c\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u3059\u308b\u305f\u3081\u306e\u53cd\u5fa9\u6cd5\u3068\u3057\u3066\u5c0e\u5165\u3055\u308c\u3001\u5b9f\u969b\u306e\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u8a08\u7b97\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u8a73\u7d30\u60c5\u5831<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306f\u3001\u30c7\u30fc\u30bf\u304c\u8907\u6570\u306e\u30ac\u30a6\u30b9\u5206\u5e03\u306e\u6df7\u5408\u304b\u3089\u751f\u6210\u3055\u308c\u3001\u305d\u308c\u305e\u308c\u304c\u30c7\u30fc\u30bf\u306e\u500b\u5225\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u307e\u305f\u306f\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u3092\u8868\u3059\u3068\u3044\u3046\u4eee\u5b9a\u306b\u57fa\u3065\u3044\u3066\u3044\u307e\u3059\u3002\u6570\u5b66\u7684\u306b\u306f\u3001GMM \u306f\u6b21\u306e\u3088\u3046\u306b\u8868\u3055\u308c\u307e\u3059\u3002<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/oneproxy.pro\/images\/gmm_formula.png\" alt=\"GMM\u5f0f\" title=\"\"><\/p>\n<p>\u3069\u3053\uff1a<\/p>\n<ul>\n<li>N(x | \u03bc\u1d62, \u03a3\u1d62)\u306f\u3001\u5e73\u5747\u03bc\u1d62\u3068\u5171\u5206\u6563\u884c\u5217\u03a3\u1d62\u3092\u6301\u3064i\u756a\u76ee\u306e\u30ac\u30a6\u30b9\u6210\u5206\u306e\u78ba\u7387\u5bc6\u5ea6\u95a2\u6570\uff08PDF\uff09\u3067\u3059\u3002<\/li>\n<li>\u03c0\u1d62\u306fi\u756a\u76ee\u306e\u6210\u5206\u306e\u6df7\u5408\u4fc2\u6570\u3092\u8868\u3057\u3001\u30c7\u30fc\u30bf\u30dd\u30a4\u30f3\u30c8\u304c\u305d\u306e\u6210\u5206\u306b\u5c5e\u3059\u308b\u78ba\u7387\u3092\u793a\u3057\u307e\u3059\u3002<\/li>\n<li>K \u306f\u6df7\u5408\u7269\u5185\u306e\u30ac\u30a6\u30b9\u6210\u5206\u306e\u7dcf\u6570\u3067\u3059\u3002<\/li>\n<\/ul>\n<p>GMM \u306e\u57fa\u672c\u7684\u306a\u8003\u3048\u65b9\u306f\u3001\u89b3\u6e2c\u3055\u308c\u305f\u30c7\u30fc\u30bf\u3092\u6700\u3082\u3088\u304f\u8aac\u660e\u3059\u308b \u03c0\u1d62\u3001\u03bc\u1d62\u3001\u03a3\u1d62 \u306e\u6700\u9069\u5024\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3067\u3059\u3002\u3053\u308c\u306f\u901a\u5e38\u3001\u671f\u5f85\u5024\u6700\u5927\u5316 (EM) \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u4f7f\u7528\u3057\u3066\u884c\u308f\u308c\u3001\u30e2\u30c7\u30eb\u304c\u4e0e\u3048\u3089\u308c\u305f\u30c7\u30fc\u30bf\u306e\u5c24\u5ea6\u3092\u6700\u5927\u5316\u3059\u308b\u305f\u3081\u306b\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u7e70\u308a\u8fd4\u3057\u63a8\u5b9a\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u5185\u90e8\u69cb\u9020\u3068\u305d\u306e\u52d5\u4f5c<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u5185\u90e8\u69cb\u9020\u306f\u6b21\u306e\u3082\u306e\u304b\u3089\u69cb\u6210\u3055\u308c\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u521d\u671f\u5316<\/strong>: \u6700\u521d\u306b\u3001\u30e2\u30c7\u30eb\u306b\u306f\u3001\u5e73\u5747\u3001\u5171\u5206\u6563\u3001\u6df7\u5408\u4fc2\u6570\u306a\u3069\u3001\u500b\u3005\u306e\u30ac\u30a6\u30b9\u6210\u5206\u306e\u30e9\u30f3\u30c0\u30e0\u306a\u30d1\u30e9\u30e1\u30fc\u30bf \u30bb\u30c3\u30c8\u304c\u63d0\u4f9b\u3055\u308c\u307e\u3059\u3002<\/li>\n<li><strong>\u671f\u5f85\u30b9\u30c6\u30c3\u30d7<\/strong>: \u3053\u306e\u30b9\u30c6\u30c3\u30d7\u3067\u306f\u3001EM \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5404\u30ac\u30a6\u30b9\u6210\u5206\u306b\u5c5e\u3059\u308b\u5404\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u306e\u4e8b\u5f8c\u78ba\u7387 (\u8cac\u4efb) \u3092\u8a08\u7b97\u3057\u307e\u3059\u3002\u3053\u308c\u306f\u3001\u30d9\u30a4\u30ba\u306e\u5b9a\u7406\u3092\u4f7f\u7528\u3057\u3066\u884c\u308f\u308c\u307e\u3059\u3002<\/li>\n<li><strong>\u6700\u5927\u5316\u30b9\u30c6\u30c3\u30d7<\/strong>: \u8a08\u7b97\u3055\u308c\u305f\u8cac\u4efb\u3092\u4f7f\u7528\u3057\u3066\u3001EM \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u30ac\u30a6\u30b9\u6210\u5206\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3092\u66f4\u65b0\u3057\u3001\u30c7\u30fc\u30bf\u306e\u5c24\u5ea6\u3092\u6700\u5927\u5316\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u53cd\u5fa9<\/strong>: \u671f\u5f85\u5024\u3068\u6700\u5927\u5316\u306e\u30b9\u30c6\u30c3\u30d7\u306f\u3001\u30e2\u30c7\u30eb\u304c\u5b89\u5b9a\u3057\u305f\u89e3\u306b\u53ce\u675f\u3059\u308b\u307e\u3067\u7e70\u308a\u8fd4\u3057\u5b9f\u884c\u3055\u308c\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>GMM \u306f\u3001\u57fa\u790e\u3068\u306a\u308b\u30c7\u30fc\u30bf\u5206\u5e03\u3092\u8868\u73fe\u3067\u304d\u308b\u6700\u3082\u9069\u5408\u3059\u308b\u30ac\u30a6\u30b9\u5206\u5e03\u306e\u6df7\u5408\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3067\u6a5f\u80fd\u3057\u307e\u3059\u3002\u3053\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u3001\u5404\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u30ac\u30a6\u30b9\u5206\u5e03\u306e\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u306e 1 \u3064\u304b\u3089\u53d6\u5f97\u3055\u308c\u308b\u3068\u3044\u3046\u671f\u5f85\u306b\u57fa\u3065\u3044\u3066\u304a\u308a\u3001\u6df7\u5408\u4fc2\u6570\u306f\u5168\u4f53\u306e\u6df7\u5408\u306b\u304a\u3051\u308b\u5404\u30b3\u30f3\u30dd\u30fc\u30cd\u30f3\u30c8\u306e\u91cd\u8981\u6027\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/p>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u4e3b\u8981\u306a\u7279\u5fb4\u306e\u5206\u6790<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306b\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3067\u4eba\u6c17\u306e\u3042\u308b\u9078\u629e\u80a2\u3068\u306a\u308b\u3044\u304f\u3064\u304b\u306e\u91cd\u8981\u306a\u6a5f\u80fd\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u67d4\u8edf\u6027<\/strong>GMM \u306f\u8907\u6570\u306e\u30e2\u30fc\u30c9\u3092\u4f7f\u7528\u3057\u3066\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u5206\u5e03\u3092\u30e2\u30c7\u30eb\u5316\u3067\u304d\u308b\u305f\u3081\u3001\u73fe\u5b9f\u4e16\u754c\u306e\u30c7\u30fc\u30bf\u3092\u3088\u308a\u6b63\u78ba\u306b\u8868\u73fe\u3067\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u30bd\u30d5\u30c8\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/strong>\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092\u5358\u4e00\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5272\u308a\u5f53\u3066\u308b\u30cf\u30fc\u30c9 \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u306f\u7570\u306a\u308a\u3001GMM \u306f\u3001\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u304c\u7570\u306a\u308b\u78ba\u7387\u3067\u8907\u6570\u306e\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5c5e\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u30bd\u30d5\u30c8 \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3092\u63d0\u4f9b\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u78ba\u7387\u8ad6\u7684\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af<\/strong>GMM \u306f\u3001\u4e0d\u78ba\u5b9f\u6027\u306e\u63a8\u5b9a\u5024\u3092\u63d0\u4f9b\u3059\u308b\u78ba\u7387\u7684\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3092\u63d0\u4f9b\u3057\u3001\u3088\u308a\u9069\u5207\u306a\u610f\u601d\u6c7a\u5b9a\u3068\u30ea\u30b9\u30af\u5206\u6790\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u5805\u7262\u6027<\/strong>GMM \u306f\u30ce\u30a4\u30ba\u306e\u591a\u3044\u30c7\u30fc\u30bf\u306b\u5bfe\u3057\u3066\u5805\u7262\u3067\u3042\u308a\u3001\u6b20\u640d\u5024\u3092\u52b9\u679c\u7684\u306b\u51e6\u7406\u3067\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u30b9\u30b1\u30fc\u30e9\u30d3\u30ea\u30c6\u30a3<\/strong>\u8a08\u7b97\u6280\u8853\u3068\u4e26\u5217\u8a08\u7b97\u306e\u9032\u6b69\u306b\u3088\u308a\u3001GMM \u306f\u5927\u898f\u6a21\u306a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306b\u62e1\u5f35\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057\u305f\u3002<\/li>\n<\/ol>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u7a2e\u985e<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306f\u3001\u3055\u307e\u3056\u307e\u306a\u7279\u6027\u306b\u57fa\u3065\u3044\u3066\u5206\u985e\u3067\u304d\u307e\u3059\u3002\u4e00\u822c\u7684\u306a\u30bf\u30a4\u30d7\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u5bfe\u89d2\u5171\u5206\u6563GMM<\/strong>\u3053\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u3067\u306f\u3001\u5404\u30ac\u30a6\u30b9\u6210\u5206\u306b\u306f\u5bfe\u89d2\u5171\u5206\u6563\u884c\u5217\u304c\u3042\u308a\u3001\u5909\u6570\u306f\u7121\u76f8\u95a2\u3067\u3042\u308b\u3068\u60f3\u5b9a\u3055\u308c\u307e\u3059\u3002<\/li>\n<li><strong>\u76f8\u95a2\u5171\u5206\u6563GMM<\/strong>\u3053\u3053\u3067\u3001\u3059\u3079\u3066\u306e\u30ac\u30a6\u30b9\u6210\u5206\u306f\u540c\u3058\u5171\u5206\u6563\u884c\u5217\u3092\u5171\u6709\u3057\u3001\u5909\u6570\u9593\u306b\u76f8\u95a2\u95a2\u4fc2\u3092\u5c0e\u5165\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u5b8c\u5168\u5171\u5206\u6563GMM<\/strong>\u3053\u306e\u30bf\u30a4\u30d7\u3067\u306f\u3001\u5404\u30ac\u30a6\u30b9\u6210\u5206\u306f\u72ec\u81ea\u306e\u5b8c\u5168\u306a\u5171\u5206\u6563\u884c\u5217\u3092\u6301\u3061\u3001\u5909\u6570\u9593\u306e\u4efb\u610f\u306e\u76f8\u95a2\u95a2\u4fc2\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u7403\u9762\u5171\u5206\u6563GMM<\/strong>: \u3053\u306e\u30d0\u30ea\u30a2\u30f3\u30c8\u306f\u3001\u3059\u3079\u3066\u306e\u30ac\u30a6\u30b9\u6210\u5206\u304c\u540c\u3058\u7403\u9762\u5171\u5206\u6563\u884c\u5217\u3092\u6301\u3064\u3068\u60f3\u5b9a\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30d9\u30a4\u30b8\u30a2\u30f3\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb<\/strong>\u3053\u308c\u3089\u306e\u30e2\u30c7\u30eb\u306f\u3001\u30d9\u30a4\u30ba\u624b\u6cd5\u3092\u4f7f\u7528\u3057\u3066\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u95a2\u3059\u308b\u4e8b\u524d\u77e5\u8b58\u3092\u7d44\u307f\u8fbc\u3093\u3067\u304a\u308a\u3001\u904e\u5270\u9069\u5408\u3084\u4e0d\u78ba\u5b9f\u6027\u306e\u51e6\u7406\u306b\u304a\u3044\u3066\u3088\u308a\u5805\u7262\u306b\u306a\u3063\u3066\u3044\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u7a2e\u985e\u3092\u8868\u306b\u307e\u3068\u3081\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u30bf\u30a4\u30d7<\/th>\n<th>\u7279\u5fb4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u5bfe\u89d2\u5171\u5206\u6563GMM<\/td>\n<td>\u5909\u6570\u306f\u76f8\u95a2\u3057\u3066\u3044\u306a\u3044<\/td>\n<\/tr>\n<tr>\n<td>\u76f8\u95a2\u5171\u5206\u6563GMM<\/td>\n<td>\u5171\u6709\u5171\u5206\u6563\u884c\u5217<\/td>\n<\/tr>\n<tr>\n<td>\u5b8c\u5168\u5171\u5206\u6563GMM<\/td>\n<td>\u5909\u6570\u9593\u306e\u4efb\u610f\u306e\u76f8\u95a2\u95a2\u4fc2<\/td>\n<\/tr>\n<tr>\n<td>\u7403\u9762\u5171\u5206\u6563GMM<\/td>\n<td>\u540c\u3058\u7403\u9762\u5171\u5206\u6563\u884c\u5217<\/td>\n<\/tr>\n<tr>\n<td>\u30d9\u30a4\u30b8\u30a2\u30f3\u30ac\u30a6\u30b9\u6df7\u5408\u5206\u5e03<\/td>\n<td>\u30d9\u30a4\u30ba\u6cd5\u3092\u53d6\u308a\u5165\u308c\u308b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u4f7f\u7528\u65b9\u6cd5\u3001\u4f7f\u7528\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u305d\u306e\u89e3\u6c7a\u7b56<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306f\u3055\u307e\u3056\u307e\u306a\u5206\u91ce\u3067\u5fdc\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/strong>GMM \u306f\u3001\u7279\u306b\u30c7\u30fc\u30bf\u306b\u91cd\u8907\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u304c\u3042\u308b\u5834\u5408\u306b\u3001\u30c7\u30fc\u30bf \u30dd\u30a4\u30f3\u30c8\u3092\u30b0\u30eb\u30fc\u30d7\u306b\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u305f\u3081\u306b\u5e83\u304f\u4f7f\u7528\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/li>\n<li><strong>\u5bc6\u5ea6\u63a8\u5b9a<\/strong>GMM \u306f\u3001\u30c7\u30fc\u30bf\u306e\u57fa\u790e\u3068\u306a\u308b\u78ba\u7387\u5bc6\u5ea6\u95a2\u6570\u3092\u63a8\u5b9a\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3067\u304d\u3001\u7570\u5e38\u691c\u51fa\u3084\u5916\u308c\u5024\u5206\u6790\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n<li><strong>\u753b\u50cf\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3<\/strong>GMM \u306f\u3001\u753b\u50cf\u5185\u306e\u30aa\u30d6\u30b8\u30a7\u30af\u30c8\u3084\u9818\u57df\u3092\u30bb\u30b0\u30e1\u30f3\u30c8\u5316\u3059\u308b\u305f\u3081\u306b\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u30fc \u30d3\u30b8\u30e7\u30f3\u3067\u4f7f\u7528\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u3002<\/li>\n<li><strong>\u97f3\u58f0\u8a8d\u8b58<\/strong>GMM \u306f\u3001\u97f3\u7d20\u3068\u97f3\u97ff\u7279\u5fb4\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u305f\u3081\u306b\u97f3\u58f0\u8a8d\u8b58\u30b7\u30b9\u30c6\u30e0\u3067\u5229\u7528\u3055\u308c\u3066\u304d\u307e\u3057\u305f\u3002<\/li>\n<li><strong>\u30ec\u30b3\u30e1\u30f3\u30c7\u30fc\u30b7\u30e7\u30f3\u30b7\u30b9\u30c6\u30e0<\/strong>GMM \u306f\u3001\u30e6\u30fc\u30b6\u30fc\u3084\u30a2\u30a4\u30c6\u30e0\u3092\u30e6\u30fc\u30b6\u30fc\u306e\u597d\u307f\u306b\u57fa\u3065\u3044\u3066\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u3059\u308b\u63a8\u5968\u30b7\u30b9\u30c6\u30e0\u3067\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n<p>GMM \u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/p>\n<ol>\n<li><strong>\u30e2\u30c7\u30eb\u306e\u9078\u629e<\/strong>: \u30ac\u30a6\u30b9\u6210\u5206\u306e\u6700\u9069\u306a\u6570 (K) \u3092\u6c7a\u5b9a\u3059\u308b\u306e\u306f\u96e3\u3057\u3044\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002K \u304c\u5c0f\u3055\u3059\u304e\u308b\u3068\u30a2\u30f3\u30c0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u3001K \u304c\u5927\u304d\u3059\u304e\u308b\u3068\u30aa\u30fc\u30d0\u30fc\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u304c\u767a\u751f\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<li><strong>\u7279\u7570\u70b9<\/strong>\u9ad8\u6b21\u5143\u30c7\u30fc\u30bf\u3092\u6271\u3046\u5834\u5408\u3001\u30ac\u30a6\u30b9\u6210\u5206\u306e\u5171\u5206\u6563\u884c\u5217\u304c\u7279\u7570\u306b\u306a\u308b\u3053\u3068\u304c\u3042\u308a\u307e\u3059\u3002\u3053\u308c\u306f\u300c\u7279\u7570\u5171\u5206\u6563\u300d\u554f\u984c\u3068\u3057\u3066\u77e5\u3089\u308c\u3066\u3044\u307e\u3059\u3002<\/li>\n<li><strong>\u53ce\u675f<\/strong>: EM \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306f\u5e38\u306b\u30b0\u30ed\u30fc\u30d0\u30eb\u6700\u9069\u5024\u306b\u53ce\u675f\u3059\u308b\u3068\u306f\u9650\u3089\u305a\u3001\u3053\u306e\u554f\u984c\u3092\u8efd\u6e1b\u3059\u308b\u306b\u306f\u8907\u6570\u306e\u521d\u671f\u5316\u307e\u305f\u306f\u6b63\u898f\u5316\u624b\u6cd5\u304c\u5fc5\u8981\u306b\u306a\u308b\u5834\u5408\u304c\u3042\u308a\u307e\u3059\u3002<\/li>\n<\/ol>\n<h2>\u4e3b\u306a\u7279\u5fb4\u3068\u985e\u4f3c\u7528\u8a9e\u3068\u306e\u6bd4\u8f03<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u3092\u4ed6\u306e\u985e\u4f3c\u306e\u7528\u8a9e\u3068\u6bd4\u8f03\u3057\u3066\u307f\u307e\u3057\u3087\u3046\u3002<\/p>\n<table>\n<thead>\n<tr>\n<th>\u5b66\u671f<\/th>\n<th>\u7279\u5fb4<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>K\u5e73\u5747\u6cd5\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30c7\u30fc\u30bf\u3092 K \u500b\u306e\u7570\u306a\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u306b\u5206\u5272\u3059\u308b\u30cf\u30fc\u30c9 \u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0 \u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3002\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\u91cd\u8907\u3059\u308b\u30af\u30e9\u30b9\u30bf\u30fc\u306f\u51e6\u7406\u3067\u304d\u307e\u305b\u3093\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u968e\u5c64\u7684\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0<\/td>\n<td>\u30cd\u30b9\u30c8\u3055\u308c\u305f\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u30c4\u30ea\u30fc\u69cb\u9020\u3092\u69cb\u7bc9\u3057\u3001\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306e\u3055\u307e\u3056\u307e\u306a\u7c92\u5ea6\u30ec\u30d9\u30eb\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002\u4e8b\u524d\u306b\u30af\u30e9\u30b9\u30bf\u30fc\u306e\u6570\u3092\u6307\u5b9a\u3059\u308b\u5fc5\u8981\u306f\u3042\u308a\u307e\u305b\u3093\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u4e3b\u6210\u5206\u5206\u6790 (PCA)<\/td>\n<td>\u30c7\u30fc\u30bf\u5185\u3067\u6700\u5927\u5206\u6563\u306e\u76f4\u4ea4\u8ef8\u3092\u8b58\u5225\u3059\u308b\u6b21\u5143\u524a\u6e1b\u624b\u6cd5\u3002\u30c7\u30fc\u30bf\u306e\u78ba\u7387\u7684\u30e2\u30c7\u30ea\u30f3\u30b0\u306f\u8003\u616e\u3055\u308c\u307e\u305b\u3093\u3002<\/td>\n<\/tr>\n<tr>\n<td>\u7dda\u5f62\u5224\u5225\u5206\u6790 (LDA)<\/td>\n<td>\u30af\u30e9\u30b9\u5206\u96e2\u3092\u6700\u5927\u5316\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3059\u6559\u5e2b\u3042\u308a\u5206\u985e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3002\u30af\u30e9\u30b9\u306b\u5bfe\u3057\u3066\u30ac\u30a6\u30b9\u5206\u5e03\u3092\u524d\u63d0\u3068\u3057\u307e\u3059\u304c\u3001GMM \u306e\u3088\u3046\u306b\u6df7\u5408\u5206\u5e03\u306f\u51e6\u7406\u3057\u307e\u305b\u3093\u3002<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306b\u95a2\u3059\u308b\u4eca\u5f8c\u306e\u5c55\u671b\u3068\u6280\u8853<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u3068\u8a08\u7b97\u6280\u8853\u306e\u9032\u6b69\u3068\u3068\u3082\u306b\u7d99\u7d9a\u7684\u306b\u9032\u5316\u3057\u3066\u304d\u307e\u3057\u305f\u3002\u5c06\u6765\u306e\u5c55\u671b\u3068\u6280\u8853\u306b\u306f\u6b21\u306e\u3088\u3046\u306a\u3082\u306e\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u6df1\u5c64\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb<\/strong>: GMM \u3068\u30c7\u30a3\u30fc\u30d7\u30e9\u30fc\u30cb\u30f3\u30b0 \u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3\u3092\u7d44\u307f\u5408\u308f\u305b\u3066\u3001\u8907\u96d1\u306a\u30c7\u30fc\u30bf\u5206\u5e03\u306b\u5bfe\u3057\u3066\u3088\u308a\u8868\u73fe\u529b\u8c4a\u304b\u3067\u5f37\u529b\u306a\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u30c7\u30fc\u30bf\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3<\/strong>: GMM \u3092\u9069\u5fdc\u3055\u305b\u3066\u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0 \u30c7\u30fc\u30bf\u3092\u52b9\u7387\u7684\u306b\u51e6\u7406\u3057\u3001\u30ea\u30a2\u30eb\u30bf\u30a4\u30e0 \u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u306b\u9069\u3057\u305f\u3082\u306e\u306b\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u5f37\u5316\u5b66\u7fd2<\/strong>: GMM \u3092\u5f37\u5316\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3068\u7d71\u5408\u3057\u3066\u3001\u4e0d\u78ba\u5b9f\u306a\u74b0\u5883\u3067\u306e\u3088\u308a\u9069\u5207\u306a\u610f\u601d\u6c7a\u5b9a\u3092\u53ef\u80fd\u306b\u3057\u307e\u3059\u3002<\/li>\n<li><strong>\u30c9\u30e1\u30a4\u30f3\u9069\u5fdc<\/strong>: GMM \u3092\u4f7f\u7528\u3057\u3066\u30c9\u30e1\u30a4\u30f3\u30b7\u30d5\u30c8\u3092\u30e2\u30c7\u30eb\u5316\u3057\u3001\u65b0\u3057\u3044\u672a\u77e5\u306e\u30c7\u30fc\u30bf\u5206\u5e03\u306b\u30e2\u30c7\u30eb\u3092\u9069\u5fdc\u3055\u305b\u307e\u3059\u3002<\/li>\n<li><strong>\u89e3\u91c8\u53ef\u80fd\u6027\u3068\u8aac\u660e\u53ef\u80fd\u6027<\/strong>GMM \u30d9\u30fc\u30b9\u306e\u30e2\u30c7\u30eb\u3092\u89e3\u91c8\u304a\u3088\u3073\u8aac\u660e\u3057\u3066\u3001\u610f\u601d\u6c7a\u5b9a\u30d7\u30ed\u30bb\u30b9\u306b\u95a2\u3059\u308b\u6d1e\u5bdf\u3092\u5f97\u308b\u305f\u3081\u306e\u624b\u6cd5\u3092\u958b\u767a\u3057\u307e\u3059\u3002<\/li>\n<\/ol>\n<h2>\u30d7\u30ed\u30ad\u30b7\u30b5\u30fc\u30d0\u30fc\u3092\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u3067\u4f7f\u7528\u3059\u308b\u65b9\u6cd5\u307e\u305f\u306f\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u3068\u95a2\u9023\u4ed8\u3051\u308b\u65b9\u6cd5<\/h2>\n<p>\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306f\u3001\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u4f7f\u7528\u306b\u3088\u308a\u3055\u307e\u3056\u307e\u306a\u30e1\u30ea\u30c3\u30c8\u3092\u5f97\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<ol>\n<li><strong>\u7570\u5e38\u691c\u51fa<\/strong>OneProxy \u306a\u3069\u306e\u30d7\u30ed\u30ad\u30b7 \u30d7\u30ed\u30d0\u30a4\u30c0\u30fc\u306f\u3001GMM \u3092\u4f7f\u7528\u3057\u3066\u30cd\u30c3\u30c8\u30ef\u30fc\u30af \u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u306e\u7570\u5e38\u306a\u30d1\u30bf\u30fc\u30f3\u3092\u691c\u51fa\u3057\u3001\u6f5c\u5728\u7684\u306a\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u8105\u5a01\u3084\u4e0d\u6b63\u306a\u52d5\u4f5c\u3092\u7279\u5b9a\u3067\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u30ed\u30fc\u30c9\u30d0\u30e9\u30f3\u30b7\u30f3\u30b0<\/strong>GMM \u306f\u3001\u3055\u307e\u3056\u307e\u306a\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u57fa\u3065\u3044\u3066\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u30af\u30e9\u30b9\u30bf\u5316\u3057\u3001\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306e\u30ea\u30bd\u30fc\u30b9\u5272\u308a\u5f53\u3066\u3092\u6700\u9069\u5316\u3059\u308b\u3053\u3068\u3067\u3001\u8ca0\u8377\u5206\u6563\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n<li><strong>\u30e6\u30fc\u30b6\u30fc\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30d7\u30ed\u30d0\u30a4\u30c0\u30fc\u306f\u3001GMM \u3092\u4f7f\u7528\u3057\u3066\u30e6\u30fc\u30b6\u30fc\u306e\u95b2\u89a7\u30d1\u30bf\u30fc\u30f3\u3068\u597d\u307f\u306b\u57fa\u3065\u3044\u3066\u30e6\u30fc\u30b6\u30fc\u3092\u30bb\u30b0\u30e1\u30f3\u30c8\u5316\u3057\u3001\u3088\u308a\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u30b5\u30fc\u30d3\u30b9\u3092\u63d0\u4f9b\u3067\u304d\u307e\u3059\u3002<\/li>\n<li><strong>\u52d5\u7684\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0<\/strong>GMM \u306f\u3001\u63a8\u5b9a\u3055\u308c\u308b\u5f85\u3061\u6642\u9593\u3068\u8ca0\u8377\u306b\u57fa\u3065\u3044\u3066\u3001\u30ea\u30af\u30a8\u30b9\u30c8\u3092\u3055\u307e\u3056\u307e\u306a\u30d7\u30ed\u30ad\u30b7 \u30b5\u30fc\u30d0\u30fc\u306b\u52d5\u7684\u306b\u30eb\u30fc\u30c6\u30a3\u30f3\u30b0\u3059\u308b\u306e\u306b\u5f79\u7acb\u3061\u307e\u3059\u3002<\/li>\n<li><strong>\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u5206\u6790<\/strong>: \u30d7\u30ed\u30ad\u30b7 \u30d7\u30ed\u30d0\u30a4\u30c0\u30fc\u306f\u3001\u30c8\u30e9\u30d5\u30a3\u30c3\u30af\u5206\u6790\u306b GMM \u3092\u4f7f\u7528\u3067\u304d\u308b\u305f\u3081\u3001\u30b5\u30fc\u30d0\u30fc \u30a4\u30f3\u30d5\u30e9\u30b9\u30c8\u30e9\u30af\u30c1\u30e3\u3092\u6700\u9069\u5316\u3057\u3001\u5168\u4f53\u7684\u306a\u30b5\u30fc\u30d3\u30b9\u54c1\u8cea\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/li>\n<\/ol>\n<h2>\u95a2\u9023\u30ea\u30f3\u30af<\/h2>\n<p>\u30ac\u30a6\u30b9\u6df7\u5408\u30e2\u30c7\u30eb\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001\u6b21\u306e\u30ea\u30bd\u30fc\u30b9\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<ol>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/mixture.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-learn \u30c9\u30ad\u30e5\u30e1\u30f3\u30c8<\/a><\/li>\n<li><a href=\"https:\/\/www.springer.com\/gp\/book\/9780387310732\" target=\"_new\" rel=\"noopener nofollow\">\u30d1\u30bf\u30fc\u30f3\u8a8d\u8b58\u3068\u6a5f\u68b0\u5b66\u7fd2 (\u30af\u30ea\u30b9\u30c8\u30d5\u30a1\u30fc\u30fb\u30d3\u30b7\u30e7\u30c3\u30d7\u8457)<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/Expectation%E2%80%93maximization_algorithm\" target=\"_new\" rel=\"noopener nofollow\">\u671f\u5f85\u6700\u5927\u5316\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/a><\/li>\n<\/ol>","protected":false},"featured_media":497625,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477327","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>Gaussian Mixture Models: An In-depth Analysis<\/mark>","faq_items":[{"question":"What are Gaussian Mixture Models (GMMs)?","answer":"Gaussian Mixture Models (GMMs) are powerful statistical models used in machine learning and data analysis. They represent data as a mixture of several Gaussian distributions, allowing them to handle complex data distributions that cannot be easily modeled by single-component distributions."},{"question":"Who introduced the concept of Gaussian Mixture Models?","answer":"While the idea of Gaussian distributions dates back to Carl Friedrich Gauss, the explicit formulation of GMMs as a probabilistic model can be attributed to Arthur Erdelyi, who mentioned the notion of a mixed normal distribution in 1941. Later, the Expectation-Maximization (EM) algorithm was introduced in 1969 as an iterative method for fitting GMMs."},{"question":"How do Gaussian Mixture Models work?","answer":"GMMs work by iteratively estimating the parameters of the Gaussian components to best explain the observed data. The Expectation-Maximization (EM) algorithm is used to calculate the probabilities of data points belonging to each component, and then update the component parameters until convergence."},{"question":"What are the key features of Gaussian Mixture Models?","answer":"GMMs are known for their flexibility in modeling complex data, soft clustering, probabilistic framework, robustness to noisy data, and scalability to large datasets."},{"question":"What types of Gaussian Mixture Models exist?","answer":"Different types of GMMs include Diagonal Covariance GMM, Tied Covariance GMM, Full Covariance GMM, Spherical Covariance GMM, and Bayesian Gaussian Mixture Models."},{"question":"How can Gaussian Mixture Models be used?","answer":"GMMs find applications in clustering, density estimation, image segmentation, speech recognition, recommendation systems, and more."},{"question":"What are some problems related to using Gaussian Mixture Models?","answer":"Some challenges include determining the optimal number of components (K), dealing with singular covariance matrices, and ensuring convergence to a global optimum."},{"question":"How might the future of Gaussian Mixture Models look?","answer":"Future perspectives include deep Gaussian Mixture Models, adaptation to streaming data, integration with reinforcement learning, and improved interpretability."},{"question":"How can proxy servers benefit from Gaussian Mixture Models?","answer":"Proxy servers can use GMMs for anomaly detection, load balancing, user segmentation, dynamic routing, and traffic analysis to enhance service quality."},{"question":"Where can I find more information about Gaussian Mixture Models?","answer":"You can explore resources like the Scikit-learn documentation, the book \"Pattern Recognition and Machine Learning\" by Christopher Bishop, and the Wikipedia page on the Expectation-Maximization algorithm. Additionally, you can learn more at OneProxy about the applications of GMMs and their use with proxy servers."}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/wiki\/477327","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\/477327\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media\/497625"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/jp\/wp-json\/wp\/v2\/media?parent=477327"}],"curies":[{"name":"\u3046\u30fc\u3093","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}