{"id":23998,"date":"2025-06-14T07:30:16","date_gmt":"2025-06-14T04:30:16","guid":{"rendered":"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/"},"modified":"2025-06-14T07:30:16","modified_gmt":"2025-06-14T04:30:16","slug":"knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi","status":"publish","type":"post","link":"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/","title":{"rendered":"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131"},"content":{"rendered":"<p><body><\/p>\n<p>KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131<\/p>\n<p>Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r.  Bunlardan biri de, hem basitli\u011fi hem de etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan K En Yak\u0131n Kom\u015fu (KNN) algoritmas\u0131d\u0131r.  Bu makalede, KNN&#8217;nin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve \u00e7e\u015fitli uygulama alanlar\u0131n\u0131 detayl\u0131 bir \u015fekilde ele alaca\u011f\u0131z.  \u00d6ncelikle, KNN&#8217;nin ne oldu\u011funu ve nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 anlamakla ba\u015flayal\u0131m.<\/p>\n<h2>KNN Algoritmas\u0131n\u0131n \u00c7al\u0131\u015fma Prensibi<\/h2>\n<p>KNN, g\u00f6zetimli \u00f6\u011frenme tekniklerinden biridir; yani, \u00f6nceden etiketlenmi\u015f verilerle e\u011fitilir.  Bu algoritma, yeni bir veri noktas\u0131n\u0131n s\u0131n\u0131f\u0131n\u0131 veya de\u011ferini belirlemek i\u00e7in, en yak\u0131n &#8220;K&#8221; kom\u015fusunun \u00f6zelliklerine bakar.  Ba\u015fka bir deyi\u015fle, yeni bir veri noktas\u0131 i\u00e7in en yak\u0131n kom\u015fular\u0131n\u0131n s\u0131n\u0131f da\u011f\u0131l\u0131m\u0131n\u0131 inceler ve en yayg\u0131n olan s\u0131n\u0131f\u0131 tahmin eder.  Bu s\u00fcre\u00e7, veri noktalar\u0131 aras\u0131ndaki mesafeyi \u00f6l\u00e7en \u00e7e\u015fitli metrikler (\u00d6klid mesafesi, Manhattan mesafesi gibi) kullan\u0131larak ger\u00e7ekle\u015ftirilir.  \u00d6rne\u011fin, bir g\u00f6r\u00fcnt\u00fc tan\u0131ma sisteminde, yeni bir g\u00f6r\u00fcnt\u00fcn\u00fcn hangi nesneyi temsil etti\u011fini belirlemek i\u00e7in, sistem mevcut veritaban\u0131ndaki en benzer K g\u00f6r\u00fcnt\u00fcy\u00fc bulur ve bunlar\u0131n s\u0131n\u0131fland\u0131rmas\u0131na g\u00f6re tahmini yapar.  Bu nedenle K de\u011feri se\u00e7imi \u00e7ok \u00f6nemlidir.<\/p>\n<h2>K De\u011ferinin \u00d6nemi ve Se\u00e7imi<\/h2>\n<p>KNN algoritmas\u0131n\u0131n ba\u015far\u0131s\u0131 b\u00fcy\u00fck \u00f6l\u00e7\u00fcde &#8220;K&#8221; de\u011ferinin se\u00e7imine ba\u011fl\u0131d\u0131r.  K de\u011feri \u00e7ok k\u00fc\u00e7\u00fck se\u00e7ilirse, algoritma a\u015f\u0131r\u0131 uyum (overfitting) g\u00f6sterebilir ve yeni veriler \u00fczerinde ba\u015far\u0131s\u0131z olabilir.  Aksine, K de\u011feri \u00e7ok b\u00fcy\u00fck se\u00e7ilirse, algoritman\u0131n genel performans\u0131 d\u00fc\u015febilir ve sonu\u00e7lar daha az kesin olabilir.  Dolay\u0131s\u0131yla, optimal K de\u011ferini bulmak i\u00e7in genellikle \u00e7apraz do\u011frulama gibi teknikler kullan\u0131l\u0131r.  Ayr\u0131ca verilerin yap\u0131s\u0131 ve da\u011f\u0131l\u0131m\u0131 da K de\u011ferinin se\u00e7imini etkiler.<\/p>\n<h2>KNN&#8217;nin Avantajlar\u0131 ve Dezavantajlar\u0131<\/h2>\n<p>KNN algoritmas\u0131n\u0131n bir\u00e7ok avantaj\u0131 vard\u0131r. \u00d6ncelikle, anla\u015f\u0131lmas\u0131 ve uygulanmas\u0131 olduk\u00e7a kolayd\u0131r.  Ayr\u0131ca, karma\u015f\u0131k bir e\u011fitim a\u015famas\u0131 gerektirmez ve yeni veriler kolayca entegre edilebilir.  Bununla birlikte, KNN&#8217;nin dezavantajlar\u0131 da vard\u0131r. B\u00fcy\u00fck veri setlerinde hesaplama maliyeti y\u00fcksek olabilir, \u00e7\u00fcnk\u00fc her yeni veri noktas\u0131 i\u00e7in t\u00fcm verilerle mesafe hesaplamas\u0131 yap\u0131lmas\u0131 gerekir. Ayr\u0131ca, verilerin \u00f6l\u00e7eklenmesi ve \u00f6zelliklerin \u00f6neminin belirlenmesi \u00f6nemlidir.  Yanl\u0131\u015f \u00f6l\u00e7eklendirme, algoritman\u0131n performans\u0131n\u0131 olumsuz etkileyebilir.<\/p>\n<h2>KNN&#8217;nin Uygulama Alanlar\u0131<\/h2>\n<p>KNN, \u00e7e\u015fitli alanlarda ba\u015far\u0131l\u0131 bir \u015fekilde uygulanmaktad\u0131r.  \u00d6rnek olarak; g\u00f6r\u00fcnt\u00fc tan\u0131ma, metin s\u0131n\u0131fland\u0131rma, \u00f6neri sistemleri, t\u0131bbi te\u015fhis ve kredi risk de\u011ferlendirmesi g\u00f6sterilebilir.  \u00d6zellikle, veri setinin boyutu orta d\u00fczeyde ise KNN etkili bir \u00e7\u00f6z\u00fcm olabilir.  Ancak, b\u00fcy\u00fck veri setlerinde daha verimli algoritmalar tercih edilmelidir.<\/p>\n<h2>Sonu\u00e7<\/h2>\n<p>KNN, basit yap\u0131s\u0131 ve etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan g\u00fc\u00e7l\u00fc bir algoritmad\u0131r.  Ancak, uygulamada baz\u0131 dezavantajlar\u0131 da g\u00f6z \u00f6n\u00fcnde bulundurulmal\u0131d\u0131r.  Uygun bir K de\u011feri se\u00e7imi ve veri \u00f6n i\u015fleme teknikleri kullan\u0131m\u0131, KNN&#8217;nin performans\u0131n\u0131 \u00f6nemli \u00f6l\u00e7\u00fcde art\u0131rabilir.  Kendi yapay zeka projeleriniz i\u00e7in hangi algoritman\u0131n uygun oldu\u011funu belirlemek i\u00e7in farkl\u0131 y\u00f6ntemleri ara\u015ft\u0131rman\u0131z ve kar\u015f\u0131la\u015ft\u0131rmalar yapman\u0131z \u00f6nerilir.  Daha fazla bilgi i\u00e7in <a href=\"https:\/\/fatihsoysal.com\">fatihsoysal.com<\/a> sitesini ziyaret edebilirsiniz.<\/p>\n<pre><code>\n# \u00d6rnek Python Kodu (\u00d6klid Mesafesi)\n\nimport numpy as np\nfrom collections import Counter\n\ndef euclidean_distance(x1, x2):\n  return np.sqrt(np.sum((x1-x2)**2))\n\ndef knn(X_train, y_train, X_test, k=5):\n  y_pred = []\n\n  for test_point in X_test:\n    distances = [euclidean_distance(test_point, train_point) for train_point in X_train]\n    k_nearest_indices = np.argsort(distances)[:k]\n    k_nearest_labels = [y_train[i] for i in k_nearest_indices]\n    most_common = Counter(k_nearest_labels).most_common(1)\n    y_pred.append(most_common[0][0])\n\n  return y_pred\n<\/code><\/pre>\n<p>#Etiketler: KNN, K En Yak\u0131n Kom\u015fu, Yapay Zeka, Makine \u00d6\u011frenmesi, Algoritma, Veri Madencili\u011fi, S\u0131n\u0131fland\u0131rma, Regresyon, G\u00f6zetimli \u00d6\u011frenme, \u00d6klid Mesafesi, Overfitting,  Hesaplama Maliyeti, Veri \u00d6n \u0130\u015fleme<\/p>\n<p><\/body><br \/>\n<\/html><\/p>\n","protected":false},"excerpt":{"rendered":"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131 Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. Bunlardan biri de, hem&hellip;","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"csco_page_header_type":"","csco_page_load_nextpost":"","csco_page_subscribe_form":"","csco_page_contact_form":"","footnotes":""},"categories":[1],"tags":[],"class_list":{"0":"post-23998","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-genel","7":"cs-entry","8":"cs-video-wrap"},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v20.5 (Yoast SEO v25.3.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131<\/title>\n<meta name=\"description\" content=\"Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. Bunlardan biri de, hem basitli\u011fi hem de etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan K En Yak\u0131n Kom\u015fu (KNN) algoritmas\u0131d\u0131r. Bu makalede, KNN&#039;nin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve \u00e7e\u015fitli uygulama alanlar\u0131n\u0131 detayl\u0131 bir \u015fekilde ele alaca\u011f\u0131z. \u00d6ncelikle, KNN&#039;nin ne oldu\u011funu ve nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 anlamakla ba\u015flayal\u0131m.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\" \/>\n<meta property=\"og:locale\" content=\"tr_TR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131\" \/>\n<meta property=\"og:description\" content=\"Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. Bunlardan biri de, hem basitli\u011fi hem de etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan K En Yak\u0131n Kom\u015fu (KNN) algoritmas\u0131d\u0131r. Bu makalede, KNN&#039;nin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve \u00e7e\u015fitli uygulama alanlar\u0131n\u0131 detayl\u0131 bir \u015fekilde ele alaca\u011f\u0131z. \u00d6ncelikle, KNN&#039;nin ne oldu\u011funu ve nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 anlamakla ba\u015flayal\u0131m.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\" \/>\n<meta property=\"og:site_name\" content=\"Kodlar\u0131n Gizemli D\u00fcnyas\u0131\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-14T04:30:16+00:00\" \/>\n<meta name=\"author\" content=\"Fatih Soysal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Yazan:\" \/>\n\t<meta name=\"twitter:data1\" content=\"Fatih Soysal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tahmini okuma s\u00fcresi\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 dakika\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\"},\"author\":{\"name\":\"Fatih Soysal\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"headline\":\"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131\",\"datePublished\":\"2025-06-14T04:30:16+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\"},\"wordCount\":639,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/#respond\"]}],\"copyrightYear\":\"2025\",\"copyrightHolder\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\",\"name\":\"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131\",\"isPartOf\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\"},\"datePublished\":\"2025-06-14T04:30:16+00:00\",\"description\":\"Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. Bunlardan biri de, hem basitli\u011fi hem de etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan K En Yak\u0131n Kom\u015fu (KNN) algoritmas\u0131d\u0131r. Bu makalede, KNN'nin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve \u00e7e\u015fitli uygulama alanlar\u0131n\u0131 detayl\u0131 bir \u015fekilde ele alaca\u011f\u0131z. \u00d6ncelikle, KNN'nin ne oldu\u011funu ve nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 anlamakla ba\u015flayal\u0131m.\",\"breadcrumb\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/#breadcrumb\"},\"inLanguage\":\"tr\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Anasayfa\",\"item\":\"https:\/\/fatihsoysal.com\/blog\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#website\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/\",\"name\":\"Fatihsoysal.com\",\"description\":\"Blog - Yaz\u0131l\u0131m D\u00fcnyas\u0131 Tecr\u00fcbelerim\",\"publisher\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/fatihsoysal.com\/blog\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"tr\"},{\"@type\":[\"Person\",\"Organization\"],\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/002a254750921dcfd568a99e48240dd1\",\"name\":\"Fatih Soysal\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"tr\",\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"contentUrl\":\"https:\/\/fatihsoysal.com\/blog\/wp-content\/uploads\/2024\/04\/cropped-replicate-prediction-3kgg1hgjn5rgp0cf0p5tr0jw7w-1.png\",\"width\":512,\"height\":512,\"caption\":\"Fatih Soysal\"},\"logo\":{\"@id\":\"https:\/\/fatihsoysal.com\/blog\/#\/schema\/person\/image\/\"},\"description\":\"Kullan\u0131m ve kodlama m\u00fckemmeliyetini odak alan uygulamalar olu\u015fturma deneyimine sahip, profesyonel olarak 15+ y\u0131l \u00fczeri deneyime sahip bir yaz\u0131l\u0131m m\u00fchendisi.\",\"url\":\"https:\/\/fatihsoysal.com\/blog\/author\/fatihsoysal\/\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131","description":"Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. Bunlardan biri de, hem basitli\u011fi hem de etkili sonu\u00e7lar\u0131yla \u00f6ne \u00e7\u0131kan K En Yak\u0131n Kom\u015fu (KNN) algoritmas\u0131d\u0131r. Bu makalede, KNN'nin \u00e7al\u0131\u015fma mant\u0131\u011f\u0131n\u0131, avantajlar\u0131n\u0131, dezavantajlar\u0131n\u0131 ve \u00e7e\u015fitli uygulama alanlar\u0131n\u0131 detayl\u0131 bir \u015fekilde ele alaca\u011f\u0131z. \u00d6ncelikle, KNN'nin ne oldu\u011funu ve nas\u0131l \u00e7al\u0131\u015ft\u0131\u011f\u0131n\u0131 anlamakla ba\u015flayal\u0131m.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/fatihsoysal.com\/blog\/knn-basit-ama-guclu-bir-yapay-zeka-algoritmasi\/","og_locale":"tr_TR","og_type":"article","og_title":"KNN: Basit Ama G\u00fc\u00e7l\u00fc Bir Yapay Zeka Algoritmas\u0131","og_description":"Yapay zeka d\u00fcnyas\u0131nda say\u0131s\u0131z algoritma bulunmaktad\u0131r. 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