{"id":477783,"date":"2023-08-09T09:20:08","date_gmt":"2023-08-09T09:20:08","guid":{"rendered":""},"modified":"2023-09-05T11:15:24","modified_gmt":"2023-09-05T11:15:24","slug":"k-nn-k-nearest-neighbours","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/ar\/wiki\/k-nn-k-nearest-neighbours\/","title":{"rendered":"k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)"},"content":{"rendered":"<p>\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u0645\u0648\u062c\u0632\u0629 \u0639\u0646 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)<\/p>\n<p>k-Nearest Neighbors (k-NN) \u0647\u064a \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 \u062a\u0639\u0644\u0645 \u0628\u0633\u064a\u0637\u0629 \u0648\u063a\u064a\u0631 \u0628\u0627\u0631\u0627\u0645\u062a\u0631\u064a\u0629 \u0648\u0643\u0633\u0648\u0644 \u062a\u0633\u062a\u062e\u062f\u0645 \u0644\u0644\u062a\u0635\u0646\u064a\u0641 \u0648\u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631. \u0641\u064a \u0645\u0634\u0627\u0643\u0644 \u0627\u0644\u062a\u0635\u0646\u064a\u0641\u060c \u062a\u0642\u0648\u0645 k-NN \u0628\u062a\u0639\u064a\u064a\u0646 \u062a\u0633\u0645\u064a\u0629 \u0641\u0626\u0629 \u0627\u0633\u062a\u0646\u0627\u062f\u064b\u0627 \u0625\u0644\u0649 \u063a\u0627\u0644\u0628\u064a\u0629 \u062a\u0633\u0645\u064a\u0627\u062a \u0627\u0644\u0641\u0626\u0629 \u0628\u064a\u0646 \u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646 &quot;k&quot; \u0644\u0644\u0643\u0627\u0626\u0646. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0627\u0646\u062d\u062f\u0627\u0631\u060c \u0641\u0625\u0646\u0647 \u064a\u0642\u0648\u0645 \u0628\u062a\u0639\u064a\u064a\u0646 \u0642\u064a\u0645\u0629 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0645\u062a\u0648\u0633\u0637 \u0623\u0648 \u0645\u062a\u0648\u0633\u0637 \u0642\u064a\u0645 \u0623\u0642\u0631\u0628 \u062c\u064a\u0631\u0627\u0646\u0647 &quot;k&quot;.<\/p>\n<h2>\u062a\u0627\u0631\u064a\u062e \u0623\u0635\u0644 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646) \u0648\u0623\u0648\u0644 \u0630\u0643\u0631 \u0644\u0647<\/h2>\n<p>\u062a\u0639\u0648\u062f \u062c\u0630\u0648\u0631 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 k-NN \u0625\u0644\u0649 \u0623\u062f\u0628\u064a\u0627\u062a \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0623\u0646\u0645\u0627\u0637 \u0627\u0644\u0625\u062d\u0635\u0627\u0626\u064a\u0629. \u062a\u0645 \u062a\u0642\u062f\u064a\u0645 \u0647\u0630\u0627 \u0627\u0644\u0645\u0641\u0647\u0648\u0645 \u0645\u0646 \u0642\u0628\u0644 \u0625\u064a\u0641\u0644\u064a\u0646 \u0641\u064a\u0643\u0633 \u0648\u062c\u0648\u0632\u064a\u0641 \u0647\u0648\u062f\u062c\u0632 \u0641\u064a \u0639\u0627\u0645 1951\u060c \u0625\u064a\u0630\u0627\u0646\u064b\u0627 \u0628\u0628\u062f\u0627\u064a\u0629 \u0647\u0630\u0647 \u0627\u0644\u062a\u0642\u0646\u064a\u0629. \u0648\u0645\u0646\u0630 \u0630\u0644\u0643 \u0627\u0644\u062d\u064a\u0646\u060c \u062a\u0645 \u0627\u0633\u062a\u062e\u062f\u0627\u0645\u0647 \u0639\u0644\u0649 \u0646\u0637\u0627\u0642 \u0648\u0627\u0633\u0639 \u0641\u064a \u0645\u062c\u0627\u0644\u0627\u062a \u0645\u062e\u062a\u0644\u0641\u0629 \u0628\u0633\u0628\u0628 \u0628\u0633\u0627\u0637\u062a\u0647 \u0648\u0641\u0639\u0627\u0644\u064a\u062a\u0647.<\/p>\n<h2>\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062a\u0641\u0635\u064a\u0644\u064a\u0629 \u062d\u0648\u0644 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646). \u062a\u0648\u0633\u064a\u0639 \u0627\u0644\u0645\u0648\u0636\u0648\u0639 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)<\/h2>\n<p>\u062a\u0639\u0645\u0644 k-NN \u0645\u0646 \u062e\u0644\u0627\u0644 \u062a\u062d\u062f\u064a\u062f \u0623\u0642\u0631\u0628 \u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 &quot;k&quot; \u0644\u0645\u062f\u062e\u0644 \u0645\u0639\u064a\u0646 \u0648\u0625\u062c\u0631\u0627\u0621 \u062a\u0646\u0628\u0624\u0627\u062a \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0642\u0627\u0639\u062f\u0629 \u0627\u0644\u0623\u063a\u0644\u0628\u064a\u0629 \u0623\u0648 \u0627\u0644\u0645\u062a\u0648\u0633\u0637. \u063a\u0627\u0644\u0628\u064b\u0627 \u0645\u0627 \u062a\u064f\u0633\u062a\u062e\u062f\u0645 \u0645\u0642\u0627\u064a\u064a\u0633 \u0627\u0644\u0645\u0633\u0627\u0641\u0629 \u0645\u062b\u0644 \u0627\u0644\u0645\u0633\u0627\u0641\u0629 \u0627\u0644\u0625\u0642\u0644\u064a\u062f\u064a\u0629 \u0623\u0648 \u0645\u0633\u0627\u0641\u0629 \u0645\u0627\u0646\u0647\u0627\u062a\u0646 \u0623\u0648 \u0645\u0633\u0627\u0641\u0629 \u0645\u064a\u0646\u0643\u0648\u0641\u0633\u0643\u064a \u0644\u0642\u064a\u0627\u0633 \u0627\u0644\u062a\u0634\u0627\u0628\u0647. \u0627\u0644\u0645\u0643\u0648\u0646\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0644\u0640 k-NN \u0647\u064a:<\/p>\n<ul>\n<li>\u0627\u062e\u062a\u064a\u0627\u0631 &quot;k&quot; (\u0639\u062f\u062f \u0627\u0644\u062c\u064a\u0631\u0627\u0646 \u0627\u0644\u0630\u064a \u064a\u062c\u0628 \u0645\u0631\u0627\u0639\u0627\u062a\u0647)<\/li>\n<li>\u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0645\u0633\u0627\u0641\u0629 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u0627\u0644\u0625\u0642\u0644\u064a\u062f\u064a\u0629\u060c \u0645\u0627\u0646\u0647\u0627\u062a\u0646)<\/li>\n<li>\u0642\u0627\u0639\u062f\u0629 \u0627\u0644\u0642\u0631\u0627\u0631 (\u0639\u0644\u0649 \u0633\u0628\u064a\u0644 \u0627\u0644\u0645\u062b\u0627\u0644\u060c \u062a\u0635\u0648\u064a\u062a \u0627\u0644\u0623\u063a\u0644\u0628\u064a\u0629\u060c \u0627\u0644\u062a\u0635\u0648\u064a\u062a \u0627\u0644\u0645\u0631\u062c\u062d)<\/li>\n<\/ul>\n<h2>\u0627\u0644\u0647\u064a\u0643\u0644 \u0627\u0644\u062f\u0627\u062e\u0644\u064a \u0644\u0640 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646). \u0643\u064a\u0641 \u064a\u0639\u0645\u0644 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646).<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u062a\u0642\u0633\u064a\u0645 \u0639\u0645\u0644 k-NN \u0625\u0644\u0649 \u0627\u0644\u062e\u0637\u0648\u0627\u062a \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ol>\n<li><strong>\u0627\u062e\u062a\u0631 \u0627\u0644\u0631\u0642\u0645 &quot;\u0643&quot;<\/strong> \u2013 \u062d\u062f\u062f \u0639\u062f\u062f \u0627\u0644\u062c\u064a\u0631\u0627\u0646 \u0644\u0644\u0646\u0638\u0631 \u0641\u064a\u0647\u0627.<\/li>\n<li><strong>\u062d\u062f\u062f \u0645\u0642\u064a\u0627\u0633 \u0627\u0644\u0645\u0633\u0627\u0641\u0629<\/strong> - \u062a\u062d\u062f\u064a\u062f \u0643\u064a\u0641\u064a\u0629 \u0642\u064a\u0627\u0633 &quot;\u062a\u0642\u0627\u0631\u0628&quot; \u0627\u0644\u062d\u0627\u0644\u0627\u062a.<\/li>\n<li><strong>\u0627\u0628\u062d\u062b \u0639\u0646 \u0623\u0642\u0631\u0628 \u062c\u064a\u0631\u0627\u0646 k<\/strong> \u2013 \u062a\u062d\u062f\u064a\u062f \u0639\u064a\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0623\u0642\u0631\u0628 \u0625\u0644\u0649 \u0627\u0644\u0645\u062b\u064a\u0644 \u0627\u0644\u062c\u062f\u064a\u062f.<\/li>\n<li><strong>\u062a\u0648\u0642\u0639<\/strong> - \u0644\u0644\u062a\u0635\u0646\u064a\u0641\u060c \u0627\u0633\u062a\u062e\u062f\u0645 \u062a\u0635\u0648\u064a\u062a \u0627\u0644\u0623\u063a\u0644\u0628\u064a\u0629. \u0628\u0627\u0644\u0646\u0633\u0628\u0629 \u0644\u0644\u0627\u0646\u062d\u062f\u0627\u0631\u060c \u0642\u0645 \u0628\u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u062a\u0648\u0633\u0637 \u0623\u0648 \u0627\u0644\u0648\u0633\u064a\u0637.<\/li>\n<\/ol>\n<h2>\u062a\u062d\u0644\u064a\u0644 \u0627\u0644\u0633\u0645\u0627\u062a \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0644\u0640 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)<\/h2>\n<ul>\n<li><strong>\u0628\u0633\u0627\u0637\u0629<\/strong>: \u0633\u0647\u0644 \u0627\u0644\u062a\u0646\u0641\u064a\u0630 \u0648\u0627\u0644\u0641\u0647\u0645.<\/li>\n<li><strong>\u0627\u0644\u0645\u0631\u0648\u0646\u0629<\/strong>: \u064a\u0639\u0645\u0644 \u0645\u0639 \u0645\u0642\u0627\u064a\u064a\u0633 \u0627\u0644\u0645\u0633\u0627\u0641\u0629 \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629 \u0648\u0642\u0627\u0628\u0644 \u0644\u0644\u062a\u0643\u064a\u0641 \u0645\u0639 \u0623\u0646\u0648\u0627\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0645\u062e\u062a\u0644\u0641\u0629.<\/li>\n<li><strong>\u0644\u0627 \u062a\u0648\u062c\u062f \u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628<\/strong>: \u064a\u0633\u062a\u062e\u062f\u0645 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0645\u0628\u0627\u0634\u0631\u0629 \u062e\u0644\u0627\u0644 \u0645\u0631\u062d\u0644\u0629 \u0627\u0644\u062a\u0646\u0628\u0624.<\/li>\n<li><strong>\u062d\u0633\u0627\u0633\u0629 \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0635\u0627\u062e\u0628\u0629<\/strong>: \u0627\u0644\u0642\u064a\u0645 \u0627\u0644\u0645\u062a\u0637\u0631\u0641\u0629 \u0648\u0627\u0644\u0636\u0648\u0636\u0627\u0621 \u064a\u0645\u0643\u0646 \u0623\u0646 \u062a\u0624\u062b\u0631 \u0639\u0644\u0649 \u0627\u0644\u0623\u062f\u0627\u0621.<\/li>\n<li><strong>\u0645\u0643\u062b\u0641\u0629 \u062d\u0633\u0627\u0628\u064a\u0627<\/strong>: \u064a\u062a\u0637\u0644\u0628 \u062d\u0633\u0627\u0628 \u0627\u0644\u0645\u0633\u0627\u0641\u0627\u062a \u0644\u062c\u0645\u064a\u0639 \u0627\u0644\u0639\u064a\u0646\u0627\u062a \u0641\u064a \u0645\u062c\u0645\u0648\u0639\u0629 \u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u062a\u062f\u0631\u064a\u0628.<\/li>\n<\/ul>\n<h2>\u0623\u0646\u0648\u0627\u0639 k-NN (\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)<\/h2>\n<p>\u0647\u0646\u0627\u0643 \u0623\u0646\u0648\u0627\u0639 \u0645\u062e\u062a\u0644\u0641\u0629 \u0645\u0646 k-NN\u060c \u0645\u062b\u0644:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u064a\u0643\u062a\u0628<\/th>\n<th>\u0648\u0635\u0641<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0645\u0639\u064a\u0627\u0631 \u0643-NN<\/td>\n<td>\u064a\u0633\u062a\u062e\u062f\u0645 \u0648\u0632\u0646\u064b\u0627 \u0645\u0648\u062d\u062f\u064b\u0627 \u0644\u062c\u0645\u064a\u0639 \u0627\u0644\u062c\u064a\u0631\u0627\u0646.<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0631\u062c\u062d \u0643 NN<\/td>\n<td>\u064a\u0639\u0637\u064a \u0648\u0632\u0646\u064b\u0627 \u0623\u0643\u0628\u0631 \u0644\u0644\u062c\u064a\u0631\u0627\u0646 \u0627\u0644\u0623\u0642\u0631\u0628\u060c \u0648\u064a\u0639\u062a\u0645\u062f \u0639\u0627\u062f\u0629\u064b \u0639\u0644\u0649 \u0639\u0643\u0633 \u0627\u0644\u0645\u0633\u0627\u0641\u0629.<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062a\u0643\u064a\u0641 \u0643 NN<\/td>\n<td>\u064a\u0636\u0628\u0637 &quot;k&quot; \u062f\u064a\u0646\u0627\u0645\u064a\u0643\u064a\u064b\u0627 \u0628\u0646\u0627\u0621\u064b \u0639\u0644\u0649 \u0627\u0644\u0628\u0646\u064a\u0629 \u0627\u0644\u0645\u062d\u0644\u064a\u0629 \u0644\u0645\u0633\u0627\u062d\u0629 \u0627\u0644\u0625\u062f\u062e\u0627\u0644.<\/td>\n<\/tr>\n<tr>\n<td>\u0645\u0631\u062c\u062d \u0645\u062d\u0644\u064a\u0627 k-NN<\/td>\n<td>\u064a\u062c\u0645\u0639 \u0628\u064a\u0646 \u0643\u0644 \u0645\u0646 &quot;k&quot; \u0627\u0644\u062a\u0643\u064a\u0641\u064a \u0648\u0648\u0632\u0646 \u0627\u0644\u0645\u0633\u0627\u0641\u0629.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0637\u0631\u0642 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646) \u0648\u0627\u0644\u0645\u0634\u0643\u0644\u0627\u062a \u0648\u062d\u0644\u0648\u0644\u0647\u0627 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645<\/h2>\n<ul>\n<li><strong>\u0627\u0644\u0627\u0633\u062a\u062e\u062f\u0627\u0645<\/strong>: \u0627\u0644\u062a\u0635\u0646\u064a\u0641\u060c \u0627\u0644\u0627\u0646\u062d\u062f\u0627\u0631\u060c \u0623\u0646\u0638\u0645\u0629 \u0627\u0644\u062a\u0648\u0635\u064a\u0629\u060c \u0627\u0644\u062a\u0639\u0631\u0641 \u0639\u0644\u0649 \u0627\u0644\u0635\u0648\u0631.<\/li>\n<li><strong>\u0645\u0634\u0627\u0643\u0644<\/strong>: \u062a\u0643\u0644\u0641\u0629 \u062d\u0633\u0627\u0628\u064a\u0629 \u0639\u0627\u0644\u064a\u0629\u060c \u062d\u0633\u0627\u0633\u0629 \u0644\u0644\u0645\u064a\u0632\u0627\u062a \u063a\u064a\u0631 \u0630\u0627\u062a \u0627\u0644\u0635\u0644\u0629\u060c \u0645\u0634\u0643\u0644\u0627\u062a \u0642\u0627\u0628\u0644\u064a\u0629 \u0627\u0644\u062a\u0648\u0633\u0639.<\/li>\n<li><strong>\u062d\u0644\u0648\u0644<\/strong>: \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0645\u064a\u0632\u0629\u060c \u0648\u062a\u0631\u062c\u064a\u062d \u0627\u0644\u0645\u0633\u0627\u0641\u0629\u060c \u0648\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0647\u064a\u0627\u0643\u0644 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0641\u0639\u0627\u0644\u0629 \u0645\u062b\u0644 KD-Trees.<\/li>\n<\/ul>\n<h2>\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0631\u0626\u064a\u0633\u064a\u0629 \u0648\u0645\u0642\u0627\u0631\u0646\u0627\u062a \u0623\u062e\u0631\u0649 \u0645\u0639 \u0645\u0635\u0637\u0644\u062d\u0627\u062a \u0645\u0645\u0627\u062b\u0644\u0629<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u064a\u0635\u0641<\/th>\n<th>\u0643-\u0646.\u0646<\/th>\n<th>\u0623\u0634\u062c\u0627\u0631 \u0627\u0644\u0642\u0631\u0627\u0631<\/th>\n<th>SVM<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u0646\u0648\u0639 \u0627\u0644\u0646\u0645\u0648\u0630\u062c<\/td>\n<td>\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0643\u0633\u0648\u0644<\/td>\n<td>\u0627\u0644\u062a\u0639\u0644\u0645 \u0628\u0634\u063a\u0641<\/td>\n<td>\u0627\u0644\u062a\u0639\u0644\u0645 \u0628\u0634\u063a\u0641<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u0642\u064a\u062f \u0627\u0644\u062a\u062f\u0631\u064a\u0628<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<\/tr>\n<tr>\n<td>\u062a\u0639\u0642\u064a\u062f \u0627\u0644\u062a\u0646\u0628\u0624<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<\/tr>\n<tr>\n<td>\u0627\u0644\u062d\u0633\u0627\u0633\u064a\u0629 \u0644\u0644\u0636\u0648\u0636\u0627\u0621<\/td>\n<td>\u0639\u0627\u0644\u064a<\/td>\n<td>\u0648\u0627\u0633\u0637\u0629<\/td>\n<td>\u0642\u0644\u064a\u0644<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0648\u062c\u0647\u0627\u062a \u0646\u0638\u0631 \u0648\u062a\u0642\u0646\u064a\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644 \u0627\u0644\u0645\u062a\u0639\u0644\u0642\u0629 \u0628\u0640 k-NN (k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646)<\/h2>\n<p>\u0642\u062f \u062a\u0631\u0643\u0632 \u0627\u0644\u062a\u0637\u0648\u0631\u0627\u062a \u0627\u0644\u0645\u0633\u062a\u0642\u0628\u0644\u064a\u0629 \u0639\u0644\u0649 \u062a\u062d\u0633\u064a\u0646 k-NN \u0644\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0627\u0644\u0636\u062e\u0645\u0629\u060c \u0648\u0627\u0644\u062a\u0643\u0627\u0645\u0644 \u0645\u0639 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642\u060c \u0648\u062a\u0639\u0632\u064a\u0632 \u0645\u062a\u0627\u0646\u0629 \u0627\u0644\u0636\u0648\u0636\u0627\u0621\u060c \u0648\u0623\u062a\u0645\u062a\u0629 \u0627\u062e\u062a\u064a\u0627\u0631 \u0627\u0644\u0645\u0639\u0644\u0645\u0627\u062a \u0627\u0644\u0641\u0627\u0626\u0642\u0629.<\/p>\n<h2>\u0643\u064a\u0641 \u064a\u0645\u0643\u0646 \u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0627\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0623\u0648 \u0631\u0628\u0637\u0647\u0627 \u0628\u0640 k-NN (k-Nearest Neighbours)<\/h2>\n<p>\u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629\u060c \u0645\u062b\u0644 \u062a\u0644\u0643 \u0627\u0644\u062a\u064a \u064a\u0648\u0641\u0631\u0647\u0627 OneProxy\u060c \u0623\u0646 \u062a\u0644\u0639\u0628 \u062f\u0648\u0631\u064b\u0627 \u0641\u064a \u062a\u0637\u0628\u064a\u0642\u0627\u062a k-NN \u0627\u0644\u062a\u064a \u062a\u062a\u0636\u0645\u0646 \u062a\u062c\u0631\u064a\u0641 \u0627\u0644\u0648\u064a\u0628 \u0623\u0648 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a. \u064a\u0636\u0645\u0646 \u062c\u0645\u0639 \u0627\u0644\u0628\u064a\u0627\u0646\u0627\u062a \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0648\u0643\u0644\u0627\u0621 \u0639\u062f\u0645 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0647\u0648\u064a\u062a\u0647 \u0648\u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0648\u0641\u0631 \u0645\u062c\u0645\u0648\u0639\u0627\u062a \u0628\u064a\u0627\u0646\u0627\u062a \u0623\u0643\u062b\u0631 \u062a\u0646\u0648\u0639\u064b\u0627 \u0648\u063a\u064a\u0631 \u0645\u062a\u062d\u064a\u0632\u0629 \u0644\u0628\u0646\u0627\u0621 \u0646\u0645\u0627\u0630\u062c k-NN \u0642\u0648\u064a\u0629.<\/p>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<ul>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u062b\u0627\u0626\u0642 Scikit-Learn k-NN<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/K-nearest_neighbors_algorithm\" target=\"_new\" rel=\"noopener nofollow\">\u0635\u0641\u062d\u0629 \u0648\u064a\u0643\u064a\u0628\u064a\u062f\u064a\u0627 \u0639\u0644\u0649 \u062e\u0648\u0627\u0631\u0632\u0645\u064a\u0629 k-\u0623\u0642\u0631\u0628 \u0627\u0644\u062c\u064a\u0631\u0627\u0646<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/ar\/\" target=\"_new\" rel=\"noopener\">OneProxy \u2013 \u062d\u0644\u0648\u0644 \u0627\u0644\u062e\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644<\/a><\/li>\n<\/ul>","protected":false},"featured_media":468739,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-477783","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about <mark>k-NN (k-Nearest Neighbours)<\/mark>","faq_items":[{"question":"What is the k-Nearest Neighbours (k-NN) algorithm?","answer":"<p>The k-Nearest Neighbours (k-NN) is a simple and non-parametric algorithm used for classification and regression. It works by identifying the 'k' closest training examples to a given input and making predictions based on majority rule or averaging.<\/p>"},{"question":"What was the origin of the k-NN algorithm?","answer":"<p>The k-NN algorithm was introduced by Evelyn Fix and Joseph Hodges in 1951, marking its inception in statistical pattern recognition literature.<\/p>"},{"question":"How does the k-NN algorithm work?","answer":"<p>The k-NN algorithm works by choosing a number 'k', selecting a distance metric, finding the k-nearest neighbors to the new instance, and making a prediction based on majority voting for classification or computing the mean or median for regression.<\/p>"},{"question":"What are the key features of the k-NN algorithm?","answer":"<p>Key features of k-NN include its simplicity, flexibility, lack of a training phase, sensitivity to noisy data, and computational intensity.<\/p>"},{"question":"What are the different types of k-NN?","answer":"<p>There are various types of k-NN, including Standard k-NN, Weighted k-NN, Adaptive k-NN, and Locally Weighted k-NN.<\/p>"},{"question":"How can k-NN be used, and what are the related problems and solutions?","answer":"<p>k-NN can be used for classification, regression, recommender systems, and image recognition. Common problems include high computation cost, sensitivity to irrelevant features, and scalability issues. Solutions may involve feature selection, distance weighting, and utilizing efficient data structures like KD-Trees.<\/p>"},{"question":"How does the k-NN algorithm compare with other similar terms?","answer":"<p>k-NN differs from other algorithms like Decision Trees and SVM in aspects such as model type, training complexity, prediction complexity, and sensitivity to noise.<\/p>"},{"question":"What are the future prospects of k-NN?","answer":"<p>Future advancements in k-NN may focus on optimizing for big data, integrating with deep learning models, enhancing robustness to noise, and automating hyperparameter selection.<\/p>"},{"question":"How are proxy servers like OneProxy associated with k-NN?","answer":"<p>Proxy servers like OneProxy can be used in k-NN applications for web scraping or data collection. Gathering data through proxies ensures anonymity and can provide more diverse and unbiased datasets for building robust k-NN models.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/477783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/477783\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/468739"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=477783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}