{"id":1116,"date":"2023-07-27T15:00:08","date_gmt":"2023-07-27T15:00:08","guid":{"rendered":"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/"},"modified":"2023-07-27T15:00:08","modified_gmt":"2023-07-27T15:00:08","slug":"kosinus-benzerligi-pitonu","status":"publish","type":"post","link":"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/","title":{"rendered":"Python&#39;da kosin\u00fcs benzerli\u011fi nas\u0131l hesaplan\u0131r"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\"><strong>Kosin\u00fcs benzerli\u011fi,<\/strong> bir i\u00e7 \u00e7arp\u0131m uzay\u0131n\u0131n iki vekt\u00f6r\u00fc aras\u0131ndaki benzerli\u011fin bir \u00f6l\u00e7\u00fcs\u00fcd\u00fcr.<\/span><\/p>\n<p> <span style=\"color: #000000;\">A ve B gibi iki vekt\u00f6r i\u00e7in kosin\u00fcs benzerli\u011fi \u015fu \u015fekilde hesaplan\u0131r:<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>Kosin\u00fcs benzerli\u011fi<\/strong> = \u03a3A <sub>i<\/sub> B <sub>ben<\/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;\">Bu e\u011fitimde, <a href=\"https:\/\/numpy.org\/doc\/stable\/index.html\" target=\"_blank\" rel=\"noopener noreferrer\">NumPy<\/a> k\u00fct\u00fcphanesindeki fonksiyonlar\u0131 kullanarak Python&#8217;da vekt\u00f6rler aras\u0131ndaki kosin\u00fcs benzerli\u011finin nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r.<\/span><\/p>\n<h3> <span style=\"color: #000000;\"><strong>Python&#8217;da iki vekt\u00f6r aras\u0131ndaki kosin\u00fcs benzerli\u011fi<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\">A\u015fa\u011f\u0131daki kod Python&#8217;da iki dizi aras\u0131ndaki kosin\u00fcs benzerli\u011finin nas\u0131l hesaplanaca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">from<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = [23, 34, 44, 45, 42, 27, 33, 34]\nb = [17, 18, 22, 26, 26, 29, 31, 30]\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n0.965195008357566\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0130ki tablo aras\u0131ndaki kosin\u00fcs benzerli\u011fi <strong>0,965195<\/strong> olarak ortaya \u00e7\u0131k\u0131yor.<\/span><\/p>\n<p> <span style=\"color: #000000;\">Bu y\u00f6ntemin herhangi bir uzunluktaki iki dizide \u00e7al\u0131\u015faca\u011f\u0131n\u0131 unutmay\u0131n:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\nfrom<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> )\nb = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> )\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n0.7340201613960431<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">Ancak bu yaln\u0131zca iki dizinin ayn\u0131 uzunlukta olmas\u0131 durumunda i\u015fe yarar:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import <span style=\"color: #000000;\">numpy<\/span> as <span style=\"color: #000000;\">np<\/span>\nfrom<\/span> numpy <span style=\"color: #008000;\">import<\/span> dot\n<span style=\"color: #008000;\">from<\/span> numpy. <span style=\"color: #3366ff;\">linalg<\/span> <span style=\"color: #008000;\">import<\/span> norm\n\n<span style=\"color: #008080;\">#define arrays\n<\/span>a = np.random.randint(10, size= <span style=\"color: #008000;\">90<\/span> ) <span style=\"color: #008080;\">#length=90<\/span>\nb = np.random.randint(10, size= <span style=\"color: #008000;\">100<\/span> ) <span style=\"color: #008080;\">#length=100<\/span>\n\n<span style=\"color: #008080;\">#calculate Cosine Similarity\n<\/span>cos_sim = <span style=\"color: #3366ff;\">dot<\/span> (a, b)\/( <span style=\"color: #3366ff;\">norm<\/span> (a)* <span style=\"color: #3366ff;\">norm<\/span> (b))\n\ncos_sim\n\n<span style=\"color: #993300;\">ValueError<\/span> : shapes (90,) and (100,) not aligned: 90 (dim 0) != 100 (dim 0)\n<\/strong><\/pre>\n<h3> <span style=\"color: #000000;\"><strong>Yorumlar<\/strong><\/span><\/h3>\n<p> <span style=\"color: #000000;\"><strong>1.<\/strong> Python kullanarak kosin\u00fcs benzerli\u011fini hesaplaman\u0131n birka\u00e7 yolu vard\u0131r, ancak <a href=\"https:\/\/stackoverflow.com\/questions\/18424228\/cosine-similarity-between-2-number-lists\" target=\"_blank\" rel=\"noopener noreferrer\">bu Y\u0131\u011f\u0131n Ta\u015fmas\u0131<\/a> ba\u015fl\u0131\u011f\u0131nda a\u00e7\u0131kland\u0131\u011f\u0131 gibi, bu makalede a\u00e7\u0131klanan y\u00f6ntemin en h\u0131zl\u0131 oldu\u011fu ortaya \u00e7\u0131k\u0131yor.<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>2.<\/strong> Kosin\u00fcs benzerli\u011fi hakk\u0131nda daha fazla bilgi edinmek i\u00e7in<a href=\"https:\/\/en.wikipedia.org\/wiki\/Cosine_similarity\" target=\"_blank\" rel=\"noopener noreferrer\">bu Wikipedia sayfas\u0131na<\/a> bak\u0131n.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Kosin\u00fcs benzerli\u011fi, bir i\u00e7 \u00e7arp\u0131m uzay\u0131n\u0131n iki vekt\u00f6r\u00fc aras\u0131ndaki benzerli\u011fin bir \u00f6l\u00e7\u00fcs\u00fcd\u00fcr. A ve B gibi iki vekt\u00f6r i\u00e7in kosin\u00fcs benzerli\u011fi \u015fu \u015fekilde hesaplan\u0131r: Kosin\u00fcs benzerli\u011fi = \u03a3A i B ben \/ (\u221a\u03a3A i 2 \u221a\u03a3B i 2 ) Bu e\u011fitimde, NumPy k\u00fct\u00fcphanesindeki fonksiyonlar\u0131 kullanarak Python&#8217;da vekt\u00f6rler aras\u0131ndaki kosin\u00fcs benzerli\u011finin nas\u0131l hesaplanaca\u011f\u0131 a\u00e7\u0131klanmaktad\u0131r. Python&#8217;da iki [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"class_list":["post-1116","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python&#039;da Kosin\u00fcs Benzerli\u011fi Nas\u0131l Hesaplan\u0131r - Statorials<\/title>\n<meta name=\"description\" content=\"Bu e\u011fitimde Python&#039;da kosin\u00fcs\u00fcn ayn\u0131 \u015fekilde nas\u0131l hesaplanaca\u011f\u0131 bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python&#039;da Kosin\u00fcs Benzerli\u011fi Nas\u0131l Hesaplan\u0131r - Statorials\" \/>\n<meta property=\"og:description\" content=\"Bu e\u011fitimde Python&#039;da kosin\u00fcs\u00fcn ayn\u0131 \u015fekilde nas\u0131l hesaplanaca\u011f\u0131 bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-27T15:00:08+00:00\" \/>\n<meta name=\"author\" content=\"Dr.benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dr.benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/\",\"url\":\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/\",\"name\":\"Python&#39;da Kosin\u00fcs Benzerli\u011fi Nas\u0131l Hesaplan\u0131r - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/tr\/#website\"},\"datePublished\":\"2023-07-27T15:00:08+00:00\",\"dateModified\":\"2023-07-27T15:00:08+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\"},\"description\":\"Bu e\u011fitimde Python&#39;da kosin\u00fcs\u00fcn ayn\u0131 \u015fekilde nas\u0131l hesaplanaca\u011f\u0131 bir \u00f6rnekle a\u00e7\u0131klanmaktad\u0131r.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/tr\/kosinus-benzerligi-pitonu\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Ev\",\"item\":\"https:\/\/statorials.org\/tr\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Python&#39;da kosin\u00fcs benzerli\u011fi nas\u0131l hesaplan\u0131r\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/tr\/#website\",\"url\":\"https:\/\/statorials.org\/tr\/\",\"name\":\"Statorials\",\"description\":\"\u0130statistik okuryazarl\u0131\u011f\u0131 rehberiniz!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/tr\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"tr\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/365dc158a39a7c8ae256355451e3de48\",\"name\":\"Dr.benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/statorials.org\/tr\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"https:\/\/statorials.org\/tr\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Dr.benjamin anderson\"},\"description\":\"Merhaba, ben Benjamin, emekli bir istatistik profes\u00f6r\u00fc ve Statorials \u00f6\u011fretmenine d\u00f6n\u00fc\u015ft\u00fcm. \u0130statistik alan\u0131ndaki kapsaml\u0131 deneyimim ve uzmanl\u0131\u011f\u0131mla, \u00f6\u011frencilerimi Statorials arac\u0131l\u0131\u011f\u0131yla g\u00fc\u00e7lendirmek i\u00e7in bilgilerimi payla\u015fmaya can at\u0131yorum. 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