{"id":4821,"date":"2020-06-30T17:10:34","date_gmt":"2020-06-30T08:10:34","guid":{"rendered":"https:\/\/transynk.co.jp\/?post_type=blog&p=4821"},"modified":"2024-04-14T17:11:58","modified_gmt":"2024-04-14T08:11:58","slug":"principal-correlation-analysis","status":"publish","type":"blog","link":"https:\/\/transynk.co.jp\/en\/blog\/principal-correlation-analysis\/","title":{"rendered":"\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u3068\u306f\uff1f\u3000\u3084\u308a\u65b9\u3084\u4f8b\u984c\u3092\u7d39\u4ecb"},"content":{"rendered":"

\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u3068\u306f<\/h3><\/div>

\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6b21\u5143\u304c\u591a\u3044\u3068\u3001\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3044\u3066\u8a08\u7b97\u30b3\u30b9\u30c8\u304c\u9ad8\u304f\u306a\u3063\u3066\u3057\u307e\u3044\u3001\u30c7\u30fc\u30bf\u3092\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u304c\u96e3\u3057\u304f\u306a\u3063\u3066\u3057\u307e\u3044\u307e\u3059\u3002\u4e3b\u6210\u5206\u5206\u6790\uff08principal correlation analysis; PCA\uff09\u3068\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e1\u3064\u3067\u3001\u3053\u306e\u3088\u3046\u306a\u8ab2\u984c\u3092\u89e3\u6c7a\u3057\u3066\u304f\u308c\u307e\u3059\u3002\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u6b21\u5143\u524a\u6e1b\u3092\u884c\u3046\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n

3\u6b21\u5143\u4ee5\u4e0b\u306b\u6b21\u5143\u524a\u6e1b\u3092\u884c\u3048\u3070\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u69d8\u5b50\u3092\u53ef\u8996\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u3044\u308d\u3044\u308d\u306a\u4e3b\u6210\u5206\u540c\u58eb\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u898b\u3066\u3001\u305d\u308c\u305e\u308c\u306e\u4e3b\u6210\u5206\u306e\u89d2\u5ea6\u3092\u898b\u308b\u3053\u3068\u3067\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u304c\u3069\u306e\u3088\u3046\u306a\u65b9\u5411\u306b\u5206\u5e03\u3057\u3066\u3044\u308b\u306e\u304b\u304c\u5206\u304b\u308a\u307e\u3059\u3002\u307e\u305f\u3001\u4e3b\u6210\u5206\u3092\u8abf\u3079\u308c\u3070\u3001\u96a0\u3057\u6587\u306e\u610f\u5473\u3092\u63a8\u6e2c\u3059\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002<\/p>\n

\u3055\u3089\u306b\u3001\u4e3b\u6210\u5206\u5206\u6790\u306b\u3088\u3063\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4e2d\u3067\u5916\u308c\u5024\u3092\u63a2\u3059\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u4e3b\u6210\u5206\u5206\u6790\u3092\u3057\u305f\u5f8c\u306b\u4e3b\u6210\u5206\u306e\u30d7\u30ed\u30c3\u30c8\u3092\u898b\u305f\u3068\u304d\u306b\u3001\u96e2\u308c\u3066\u3044\u308b\u30b5\u30f3\u30d7\u30eb\u306f\u3001\u4e3b\u6210\u5206\u5206\u6790\u524d\u306e\u30b5\u30f3\u30d7\u30eb\u540c\u58eb\u3082\u96e2\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n

\u4e3b\u6210\u5206\u5206\u6790\u306f\u3001\u6b63\u6e96\u76f8\u95a2\u5206\u6790 (canonical correlation analysis; CCA) \u3068\u3044\u3046\u3001\u4e8c\u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9593\u306e\u76f8\u4e92\u5171\u5206\u6563\u306b\u57fa\u3044\u3066\u5ea7\u6a19\u7cfb\u3092\u5b9a\u3081\u308b\u624b\u6cd5\u3068\u3082\u95a2\u9023\u3055\u308c\u3044\u307e\u3059\u3002<\/p>\n<\/div>

<\/div><\/div>

\u4e3b\u6210\u5206\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8<\/h3><\/div>

\u4e3b\u6210\u5206\u5206\u6790\u3092\u5b9f\u884c\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u4f8b\u3092\u3044\u304f\u3064\u304b\u4e0a\u3052\u3066\u3044\u304d\u307e\u3059\u3002\u4e3b\u6210\u5206\u5206\u6790\u3092\u884c\u3046\u524d\u306b\u306f\u3001\u5fc5\u305a\u30c7\u30fc\u30bf\u306e\u524d\u51e6\u7406\u3092\u884c\u3044\u307e\u3057\u3087\u3046\u3002<\/p>\n

\u30a2\u30e1\u30c0\u30b9<\/a>:\u3000\u30a2\u30e1\u30c0\u30b9\uff08AMeDAS\uff09\u3068\u306f\u300cAutomated Meteorological Data Acquisition System\u300d\u306e\u7565\u3067\u3001\u300c\u5730\u57df\u6c17\u8c61\u89b3\u6e2c\u30b7\u30b9\u30c6\u30e0\u300d\u3068\u3044\u3044\u307e\u3059\u3002\u5730\u57df\u6280\u3068\u306e\u964d\u6c34\u91cf\u3001\u98a8\u5411\u3001\u98a8\u901f\u3001\u6c17\u6e29\u3001\u65e5\u7167\u6642\u9593\u306a\u3069\u306e\u30c7\u30fc\u30bf\u304c\u516c\u958b\u3055\u308c\u3066\u3044\u307e\u3059\u3002\u30a2\u30e1\u30c0\u30b9\u306e\u89b3\u6e2c\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u4e3b\u6210\u5206\u5206\u6790\u306e\u5177\u4f53\u4f8b\u306f\u3001\u3053\u3061\u3089\u3092\u5fa1\u89a7\u304f\u3060\u3055\u3044\u3002<\/a><\/p>\n

The Complete Pokemon Dataset<\/a>,\u00a0PokemonGO<\/a>:\u3000800\u7a2e\u985e\u306e\u30dd\u30b1\u30e2\u30f3\u306e\u8eab\u9577\u3001\u4f53\u91cd\u3001CP\u3001HP\u3001\u306a\u3069\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u4e3b\u6210\u5206\u5206\u6790\u3092\u7528\u3044\u3066\u30dd\u30b1\u30e2\u30f3\u306e\u5c5e\u6027\u5206\u5e03\u3092\u53ef\u8996\u5316\u3055\u308c\u305f\u5177\u4f53\u4f8b\u306f\u3001\u3053\u3061\u3089\u3092\u5fa1\u89a7\u304f\u3060\u3055\u3044\u3002<\/a><\/p>\n

CAESER<\/a>:\u30004,600\u4eba\u306e\u6b27\u7c73\u4eba\u306e\u8eab\u9577\u3068\u4f53\u91cd\u3092\u542b\u3080\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3002\u4f8b\u3048\u3070\u3001\u8eab\u9577\u3068\u4f53\u91cd\u3092BMI\u3068\u8868\u3057\u30012\u6b21\u5143\u304b\u30891\u6b21\u5143\u306e\u6b21\u5143\u524a\u6e1b\u3059\u308b\u306a\u3069\u306e\u5206\u6790\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n

XLSTAT<\/a>:\u3000\u4e3b\u6210\u5206\u5206\u6790\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u3059\u3002\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u7c73\u56fd\u56fd\u52e2\u8abf\u67fb\u5c40\u304b\u3089\u306e\u3082\u306e\u3067\u30012000\u5e74\u30682001\u5e74\u306e\u9593\u306e51\u5dde\u306e\u4eba\u53e3\u306e\u5909\u5316\u3092\u8a18\u8ff0\u3057\u3066\u3044\u307e\u3059\u3002\u5143\u306e\u30c7\u30fc\u30bf\u96c6\u5408\u306f\u3001\u5206\u6790\u306e\u7126\u70b9\u3067\u3042\u308b2001\u5e74\u306e\u30c7\u30fc\u30bf\u3068\u306e1000\u4eba\u306e\u4f4f\u6c11\u3054\u3068\u306e\u6bd4\u7387\u306b\u5909\u5f62\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<\/div>

<\/div><\/div>

\u30c8\u30e9\u30f3\u30b7\u30f3\u30af\u306eAI\u5b66\u7fd2\u30c7\u30fc\u30bf\u30b5\u30fc\u30d3\u30b9<\/h3><\/div>

\u5f53\u793e\u306fAI\u5b66\u7fd2\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u8ca9\u58f2\u3001\u53ce\u96c6\u3001\u30a2\u30ce\u30c6\u30fc\u30b7\u30e7\u30f3\u3001\u691c\u8a3c\u306a\u3069\u306e\u30b5\u30fc\u30d3\u30b9\u3092\u63d0\u4f9b\u3057\u3066\u304a\u308a\u307e\u3059\u3002\u3069\u306e\u3088\u3046\u306aAI\u958b\u767a\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3067\u3082\u3057\u3063\u304b\u308a\u3068\u652f\u63f4\u3044\u305f\u3057\u307e\u3059\u3002\u7121\u6599\u30b5\u30f3\u30d7\u30eb\u3084\u3054\u76f8\u8ac7\u306f\u3001\u3054\u9060\u616e\u306a\u304f\u304a\u554f\u3044\u5408\u308f\u305b\u304f\u3060\u3055\u3044\u3002<\/p>\n<\/div>

<\/div><\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

\u4e3b\u6210\u5206\u5206\u6790\uff08principal correlation analysis; PCA\uff09\u3068\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e1\u3064\u3067\u3001\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u6b21\u5143\u524a\u6e1b\u3092\u884c\u3046\u65b9\u6cd5\u3067\u3059\u3002<\/p>\n","protected":false},"featured_media":4822,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","categories":[35],"tags":[],"class_list":["post-4821","blog","type-blog","status-publish","has-post-thumbnail","hentry","category-datasets"],"acf":[],"yoast_head":"\n\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u3068\u306f\uff1f\u3000\u3084\u308a\u65b9\u3084\u4f8b\u984c\u3092\u7d39\u4ecb - AI\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u30fb\u6a5f\u68b0\u5b66\u7fd2\u30c7\u30fc\u30bf\u4f5c\u6210\u306a\u3089\uff5c\u30c8\u30e9\u30f3\u30b7\u30f3\u30af\u682a\u5f0f\u4f1a\u793e<\/title>\n<meta name=\"description\" content=\"\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u3068\u306f\u3001\u6a5f\u68b0\u5b66\u7fd2\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e1\u3064\u3067\u3001\u7279\u5fb4\u91cf\u3092\u62bd\u51fa\u3059\u308b\u3053\u3068\u306b\u3088\u3063\u3066\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u5185\u306e\u6b21\u5143\u524a\u6e1b\u3092\u884c\u3046\u65b9\u6cd5\u3067\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/transynk.co.jp\/en\/blog\/principal-correlation-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u6a5f\u68b0\u5b66\u7fd2\u306b\u304a\u3051\u308b\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u3068\u306f\uff1f\u3000\u3084\u308a\u65b9\u3084\u4f8b\u984c\u3092\u7d39\u4ecb - 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