{"id":1111,"date":"2023-07-27T15:09:45","date_gmt":"2023-07-27T15:09:45","guid":{"rendered":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%82%b7%e3%82%99%e3%83%a3%e3%83%83%e3%82%ab%e3%83%bc%e3%83%88%e3%82%99%e9%a1%9e%e4%bc%bc%e5%ba%a6\/"},"modified":"2023-07-27T15:09:45","modified_gmt":"2023-07-27T15:09:45","slug":"r-%e3%81%ae%e3%82%b7%e3%82%99%e3%83%a3%e3%83%83%e3%82%ab%e3%83%bc%e3%83%88%e3%82%99%e9%a1%9e%e4%bc%bc%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/statorials.org\/ja\/r-%e3%81%ae%e3%82%b7%e3%82%99%e3%83%a3%e3%83%83%e3%82%ab%e3%83%bc%e3%83%88%e3%82%99%e9%a1%9e%e4%bc%bc%e5%ba%a6\/","title":{"rendered":"R \u3067 jaccard \u985e\u4f3c\u5ea6\u3092\u8a08\u7b97\u3059\u308b\u65b9\u6cd5"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><a href=\"https:\/\/statorials.org\/ja\/\u30b7\u3099\u30e3\u30ab\u30fc\u30c8\u3099\u306e\u985e\u4f3c\u6027\/\" target=\"_blank\" rel=\"noopener\">Jaccard \u985e\u4f3c\u6027\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u3001<\/a> 2 \u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9593\u306e\u985e\u4f3c\u6027\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002\u7bc4\u56f2\u306f 0 \u304b\u3089 1 \u3067\u3059\u3002\u6570\u5024\u304c\u5927\u304d\u3044\u307b\u3069\u30012 \u3064\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306f\u985e\u4f3c\u3057\u3066\u3044\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">Jaccard \u985e\u4f3c\u6027\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Jaccard \u985e\u4f3c\u5ea6<\/strong>= (\u4e21\u65b9\u306e\u30bb\u30c3\u30c8\u306e\u89b3\u6e2c\u5024\u306e\u6570) \/ (\u3044\u305a\u308c\u304b\u306e\u30bb\u30c3\u30c8\u306e\u6570)<\/span><\/p>\n<p><span style=\"color: #000000;\">\u307e\u305f\u306f\u3001\u8868\u8a18\u5f62\u5f0f\u3067\u66f8\u304f\u3068\u6b21\u306e\u3088\u3046\u306b\u306a\u308a\u307e\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>J(A, B) =<\/strong> |A\u2229B| \/ |A\u222aB|<\/span><\/p>\n<p><span style=\"color: #000000;\">\u3053\u306e\u30c1\u30e5\u30fc\u30c8\u30ea\u30a2\u30eb\u3067\u306f\u3001R \u3067 2 \u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e Jaccard \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>\u4f8b: R \u306b\u304a\u3051\u308b Jaccard \u306e\u985e\u4f3c\u6027<\/strong><\/span><\/h3>\n<p><span style=\"color: #000000;\">\u6b21\u306e 2 \u3064\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u304c\u3042\u308b\u3068\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>a &lt;- c(0, 1, 2, 5, 6, 8, 9)<\/strong>\n<strong>b &lt;- c(0, 2, 3, 4, 5, 7, 9)<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30bb\u30c3\u30c8\u9593\u306e Jaccard \u985e\u4f3c\u6027\u3092\u8a08\u7b97\u3059\u308b\u6b21\u306e\u95a2\u6570\u3092\u5b9a\u7fa9\u3067\u304d\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#define Jaccard Similarity function<\/span>\njaccard &lt;- <span style=\"color: #008000;\">function<\/span> (a, b) {\n    intersection = <span style=\"color: #3366ff;\">length<\/span> ( <span style=\"color: #3366ff;\">intersect<\/span> (a,b))\n    union = <span style=\"color: #3366ff;\">length<\/span> (a) + <span style=\"color: #3366ff;\">length<\/span> (b) - intersection\n    <span style=\"color: #008000;\">return<\/span> (intersection\/union)\n}\n\n<span style=\"color: #008080;\">#find Jaccard Similarity between the two sets<\/span> \njaccard(a, b)\n\n0.4<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30ea\u30b9\u30c8\u9593\u306e Jaccard \u985e\u4f3c\u5ea6\u306f<strong>0.4<\/strong>\u3067\u3059\u3002<\/span><\/p>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30bb\u30c3\u30c8\u304c\u5024\u3092\u5171\u6709\u3057\u306a\u3044\u5834\u5408\u3001\u95a2\u6570\u306f<strong>0<\/strong>\u3092\u8fd4\u3059\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>c &lt;- c(0, 1, 2, 3, 4, 5)\nd &lt;- c(6, 7, 8, 9, 10)\n\njaccard(c, d)\n\n[1] 0<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">2 \u3064\u306e\u30bb\u30c3\u30c8\u304c\u540c\u4e00\u306e\u5834\u5408\u3001\u95a2\u6570\u306f<strong>1<\/strong>\u3092\u8fd4\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>e &lt;- c(0, 1, 2, 3, 4, 5)\nf &lt;- c(0, 1, 2, 3, 4, 5)\n\njaccard(e, f)\n\n[1] 1<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u306f\u3001\u6587\u5b57\u5217\u3092\u542b\u3080\u30bb\u30c3\u30c8\u306b\u5bfe\u3057\u3066\u3082\u6a5f\u80fd\u3057\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>g &lt;- c(' <span style=\"color: #008000;\">cat<\/span> ', ' <span style=\"color: #008000;\">dog<\/span> ', ' <span style=\"color: #008000;\">hippo<\/span> ', ' <span style=\"color: #008000;\">monkey<\/span> ')\nh &lt;- c(' <span style=\"color: #008000;\">monkey<\/span> ', ' <span style=\"color: #008000;\">rhino<\/span> ', ' <span style=\"color: #008000;\">ostrich<\/span> ', ' <span style=\"color: #008000;\">salmon<\/span> ')\n\njaccard(g, h)\n\n0.142857<\/strong><\/pre>\n<p><span style=\"color: #000000;\">\u3053\u306e\u95a2\u6570\u3092\u4f7f\u7528\u3057\u3066\u30012 \u3064\u306e\u30bb\u30c3\u30c8\u9593\u306e<strong>Jaccard \u8ddd\u96e2<\/strong>\u3092\u898b\u3064\u3051\u308b\u3053\u3068\u3082\u3067\u304d\u307e\u3059\u3002\u3053\u308c\u306f 2 \u3064\u306e\u30bb\u30c3\u30c8\u9593\u306e<em>\u76f8\u9055\u5ea6<\/em>\u3067\u3042\u308a\u30011 \u2013 Jaccard \u985e\u4f3c\u5ea6\u3068\u3057\u3066\u8a08\u7b97\u3055\u308c\u307e\u3059\u3002<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>a &lt;- c(0, 1, 2, 5, 6, 8, 9)\nb &lt;- c(0, 2, 3, 4, 5, 7, 9)\n\n<span style=\"color: #008080;\">#find Jaccard distance between sets <em>a<\/em> and <em>b<\/em><\/span>\n1 - jaccard(a, b)\n\n[1] 0.6<\/strong><\/pre>\n<p> <em><span style=\"color: #000000;\">Jaccard \u985e\u4f3c\u6027\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306e\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f<a href=\"https:\/\/en.wikipedia.org\/wiki\/Jaccard_index\" target=\"_blank\" rel=\"noopener noreferrer\">\u3001\u3053\u306e Wikipedia \u30da\u30fc\u30b8<\/a>\u3092\u53c2\u7167\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/span><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Jaccard \u985e\u4f3c\u6027\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u3001 2 \u3064\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u9593\u306e\u985e\u4f3c\u6027\u3092\u6e2c\u5b9a\u3057\u307e\u3059\u3002\u7bc4\u56f2\u306f 0 \u304b\u3089 1 \u3067\u3059\u3002\u6570\u5024\u304c\u5927\u304d\u3044\u307b\u3069\u30012 \u3064\u306e\u30c7\u30fc\u30bf \u30bb\u30c3\u30c8\u306f\u985e\u4f3c\u3057\u3066\u3044\u307e\u3059\u3002 Jaccard \u985e\u4f3c\u6027\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08 [&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-1111","post","type-post","status-publish","format-standard","hentry","category-16"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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