{"id":1109,"date":"2023-07-27T15:21:30","date_gmt":"2023-07-27T15:21:30","guid":{"rendered":"https:\/\/statorials.org\/ja\/%e3%82%b3%e3%82%b5%e3%82%a4%e3%83%b3%e9%a1%9e%e4%bc%bc%e5%ba%a6-r\/"},"modified":"2023-07-27T15:21:30","modified_gmt":"2023-07-27T15:21:30","slug":"%e3%82%b3%e3%82%b5%e3%82%a4%e3%83%b3%e9%a1%9e%e4%bc%bc%e5%ba%a6-r","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/%e3%82%b3%e3%82%b5%e3%82%a4%e3%83%b3%e9%a1%9e%e4%bc%bc%e5%ba%a6-r\/","title":{"rendered":"R \u3067\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f\u3001<\/strong>\u5185\u7a4d\u7a7a\u9593\u306e 2 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u985e\u4f3c\u6027\u306e\u5c3a\u5ea6\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306b\u3064\u3044\u3066\u3001\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p><span style=\"color: #000000;\"><strong>\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6<\/strong>= \u03a3A <sub>i<\/sub> B <sub>i<\/sub> \/ (\u221a\u03a3A <sub>i<\/sub> <sup>2<\/sup> \u221a\u03a3B <sub>i<\/sub> <sup>2<\/sup> )<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001 <strong>lsa<\/strong>\u30e9\u30a4\u30d6\u30e9\u30ea\u306e<strong>cosine()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066 R \u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8aac\u660e\u3057\u307e\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>R \u306e 2 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001R \u306e 2 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(lsa)<\/span>\n<\/span><\/span>\n<span style=\"color: #008080;\">#definevectors\n<\/span>a &lt;- c(23, 34, 44, 45, 42, 27, 33, 34)\nb &lt;- c(17, 18, 22, 26, 26, 29, 31, 30)\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cosine(a, b)\n\n         [,1]\n[1,] 0.965195\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f<strong>0.965195<\/strong>\u3067\u3042\u308b\u3053\u3068\u304c\u308f\u304b\u308a\u307e\u3059\u3002<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>R \u306e\u884c\u5217\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e\u30b3\u30fc\u30c9\u306f\u3001\u30d9\u30af\u30c8\u30eb\u306e\u884c\u5217\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #000000;\"><span style=\"color: #107d3f;\"><span style=\"color: #993300;\">library<\/span> <span style=\"color: #000000;\">(lsa)\n<\/span><\/span><\/span>\n<span style=\"color: #008080;\">#define matrix\n<\/span>a &lt;- c(23, 34, 44, 45, 42, 27, 33, 34)\nb &lt;- c(17, 18, 22, 26, 26, 29, 31, 30)\nc &lt;- c(34, 35, 35, 36, 51, 29, 30, 31)\n\ndata &lt;- cbind(a, b, c)\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cosine(data)\n\n          ABC\na 1.0000000 0.9651950 0.9812406\nb 0.9651950 1.0000000 0.9573478\nc 0.9812406 0.9573478 1.0000000\n<\/strong><\/pre>\n<p><span style=\"color: #000000;\"><span style=\"color: #000000;\">\u7d50\u679c\u3092\u89e3\u91c8\u3059\u308b\u65b9\u6cd5\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3059\u3002<\/span><\/span><\/p>\n<ul>\n<li><span style=\"color: #000000;\">\u30d9\u30af\u30c8\u30eb<em>a<\/em>\u3068<em>b<\/em>\u306e\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f<strong>0.9651950<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30d9\u30af\u30c8\u30eb<em>a<\/em>\u3068<em>c<\/em>\u306e\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f<strong>0.9812406<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<li><span style=\"color: #000000;\">\u30d9\u30af\u30c8\u30eb<em>b<\/em>\u3068<em>c<\/em>\u306e\u9593\u306e\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f<strong>0.9573478<\/strong>\u3067\u3059\u3002<\/span><\/li>\n<\/ul>\n<h3><span style=\"color: #000000;\"><strong>\u30b3\u30e1\u30f3\u30c8<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\"><strong>1.<\/strong> <strong>cosine()<\/strong>\u95a2\u6570\u306f\u3001\u4efb\u610f\u306e\u30b5\u30a4\u30ba\u306e\u6b63\u65b9\u884c\u5217\u3092\u51e6\u7406\u3057\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> <strong>cosine() \u95a2\u6570<\/strong>\u306f\u884c\u5217\u3067\u306f\u6a5f\u80fd\u3057\u307e\u3059\u304c\u3001\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3067<em>\u306f\u6a5f\u80fd\u3057\u307e\u305b\u3093<\/em>\u3002\u305f\u3060\u3057\u3001 <strong>as.matrix()<\/strong>\u95a2\u6570\u3092\u4f7f\u7528\u3059\u308b\u3068\u3001R \u3067\u30c7\u30fc\u30bf \u30d5\u30ec\u30fc\u30e0\u3092\u884c\u5217\u306b\u7c21\u5358\u306b\u5909\u63db\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>3.<\/strong>\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3001<a href=\"https:\/\/en.wikipedia.org\/wiki\/Cosine_similarity\" target=\"_blank\" rel=\"noopener noreferrer\">\u3053\u306e Wikipedia \u30da\u30fc\u30b8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f\u3001\u5185\u7a4d\u7a7a\u9593\u306e 2 \u3064\u306e\u30d9\u30af\u30c8\u30eb\u9593\u306e\u985e\u4f3c\u6027\u306e\u5c3a\u5ea6\u3067\u3059\u3002 2 \u3064\u306e\u30d9\u30af\u30c8\u30eb A \u3068 B \u306b\u3064\u3044\u3066\u3001\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002 \u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6= \u03a3A i B i \/ (\u221a\u03a3A i 2 \u221a\u03a3B i [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-1109","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>R \u3067\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5 - Statology<\/title>\n<meta name=\"description\" content=\"\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067\u540c\u69d8\u306e\u65b9\u6cd5\u3067\u30b3\u30b5\u30a4\u30f3\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5\u3092\u3044\u304f\u3064\u304b\u306e\u4f8b\u3068\u3068\u3082\u306b\u8aac\u660e\u3057\u307e\u3059\u3002\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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