{"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\/in\/wiki\/k-nn-k-nearest-neighbours\/","title":{"rendered":"\u0915\u0947-\u090f\u0928\u090f\u0928 (\u0915\u0947-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940)"},"content":{"rendered":"<p>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940<\/p>\n<p>k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940 (k-NN) \u090f\u0915 \u0938\u0930\u0932, \u0917\u0948\u0930-\u092a\u0948\u0930\u093e\u092e\u0940\u091f\u094d\u0930\u093f\u0915 \u0914\u0930 \u0906\u0932\u0938\u0940 \u0936\u093f\u0915\u094d\u0937\u0923 \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0925\u094d\u092e \u0939\u0948 \u091c\u093f\u0938\u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0935\u0930\u094d\u0917\u0940\u0915\u0930\u0923 \u0914\u0930 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e\u0924\u093e \u0939\u0948\u0964 \u0935\u0930\u094d\u0917\u0940\u0915\u0930\u0923 \u0938\u092e\u0938\u094d\u092f\u093e\u0913\u0902 \u092e\u0947\u0902, k-NN \u0911\u092c\u094d\u091c\u0947\u0915\u094d\u091f \u0915\u0947 &#039;k&#039; \u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u0947 \u092c\u0940\u091a \u0935\u0930\u094d\u0917 \u0932\u0947\u092c\u0932 \u0915\u0947 \u092c\u0939\u0941\u092e\u0924 \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u090f\u0915 \u0935\u0930\u094d\u0917 \u0932\u0947\u092c\u0932 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0947 \u0932\u093f\u090f, \u092f\u0939 \u0905\u092a\u0928\u0947 &#039;k&#039; \u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u0947 \u092e\u0942\u0932\u094d\u092f\u094b\u0902 \u0915\u0947 \u0914\u0938\u0924 \u092f\u093e \u092e\u093e\u0927\u094d\u092f\u093f\u0915\u093e \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u090f\u0915 \u092e\u093e\u0928 \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0940 \u0909\u0924\u094d\u092a\u0924\u094d\u0924\u093f \u0915\u093e \u0907\u0924\u093f\u0939\u093e\u0938 \u0914\u0930 \u0907\u0938\u0915\u093e \u092a\u0939\u0932\u093e \u0909\u0932\u094d\u0932\u0947\u0916<\/h2>\n<p>k-NN \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0925\u092e \u0915\u0940 \u091c\u0921\u093c\u0947\u0902 \u0938\u093e\u0902\u0916\u094d\u092f\u093f\u0915\u0940\u092f \u092a\u0948\u091f\u0930\u094d\u0928 \u092a\u0939\u091a\u093e\u0928 \u0938\u093e\u0939\u093f\u0924\u094d\u092f \u092e\u0947\u0902 \u0939\u0948\u0902\u0964 \u0907\u0938 \u0905\u0935\u0927\u093e\u0930\u0923\u093e \u0915\u094b 1951 \u092e\u0947\u0902 \u090f\u0935\u0932\u093f\u0928 \u092b\u093c\u093f\u0915\u094d\u0938 \u0914\u0930 \u091c\u094b\u0938\u0947\u092b\u093c \u0939\u094b\u091c\u0947\u0938 \u0928\u0947 \u092a\u0947\u0936 \u0915\u093f\u092f\u093e \u0925\u093e, \u091c\u094b \u0907\u0938 \u0924\u0915\u0928\u0940\u0915 \u0915\u0940 \u0936\u0941\u0930\u0941\u0906\u0924 \u0925\u0940\u0964 \u0924\u092c \u0938\u0947, \u0907\u0938\u0915\u0940 \u0938\u0930\u0932\u0924\u093e \u0914\u0930 \u092a\u094d\u0930\u092d\u093e\u0935\u0936\u0940\u0932\u0924\u093e \u0915\u0947 \u0915\u093e\u0930\u0923 \u0907\u0938\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0921\u094b\u092e\u0947\u0928 \u092e\u0947\u0902 \u0935\u094d\u092f\u093e\u092a\u0915 \u0930\u0942\u092a \u0938\u0947 \u0907\u0938\u094d\u0924\u0947\u092e\u093e\u0932 \u0915\u093f\u092f\u093e \u0917\u092f\u093e \u0939\u0948\u0964<\/p>\n<h2>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0947 \u092c\u093e\u0930\u0947 \u092e\u0947\u0902 \u0935\u093f\u0938\u094d\u0924\u0943\u0924 \u091c\u093e\u0928\u0915\u093e\u0930\u0940\u0964 k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0935\u093f\u0937\u092f \u0915\u093e \u0935\u093f\u0938\u094d\u0924\u093e\u0930<\/h2>\n<p>k-NN \u0915\u093f\u0938\u0940 \u0926\u093f\u090f \u0917\u090f \u0907\u0928\u092a\u0941\u091f \u0915\u0947 \u0932\u093f\u090f &#039;k&#039; \u0928\u093f\u0915\u091f\u0924\u092e \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0909\u0926\u093e\u0939\u0930\u0923\u094b\u0902 \u0915\u0940 \u092a\u0939\u091a\u093e\u0928 \u0915\u0930\u0915\u0947 \u0914\u0930 \u092c\u0939\u0941\u092e\u0924 \u0928\u093f\u092f\u092e \u092f\u093e \u0914\u0938\u0924 \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 \u092a\u0942\u0930\u094d\u0935\u093e\u0928\u0941\u092e\u093e\u0928 \u0932\u0917\u093e\u0915\u0930 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948\u0964 \u092f\u0942\u0915\u094d\u0932\u093f\u0921\u093f\u092f\u0928 \u0926\u0942\u0930\u0940, \u092e\u0948\u0928\u0939\u091f\u094d\u091f\u0928 \u0926\u0942\u0930\u0940 \u092f\u093e \u092e\u093f\u0902\u0915\u094b\u0935\u094d\u0938\u094d\u0915\u0940 \u0926\u0942\u0930\u0940 \u091c\u0948\u0938\u0947 \u0926\u0942\u0930\u0940 \u092e\u0940\u091f\u094d\u0930\u093f\u0915 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0905\u0915\u094d\u0938\u0930 \u0938\u092e\u093e\u0928\u0924\u093e \u0915\u094b \u092e\u093e\u092a\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e\u0924\u093e \u0939\u0948\u0964 k-NN \u0915\u0947 \u092e\u0941\u0916\u094d\u092f \u0918\u091f\u0915 \u0939\u0948\u0902:<\/p>\n<ul>\n<li>&#039;k&#039; \u0915\u093e \u091a\u092f\u0928 (\u0935\u093f\u091a\u093e\u0930 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u0940 \u0938\u0902\u0916\u094d\u092f\u093e)<\/li>\n<li>\u0926\u0942\u0930\u0940 \u092e\u0940\u091f\u094d\u0930\u093f\u0915 (\u091c\u0948\u0938\u0947, \u092f\u0942\u0915\u094d\u0932\u093f\u0921\u093f\u092f\u0928, \u092e\u0948\u0928\u0939\u091f\u094d\u091f\u0928)<\/li>\n<li>\u0928\u093f\u0930\u094d\u0923\u092f \u0928\u093f\u092f\u092e (\u091c\u0948\u0938\u0947, \u092c\u0939\u0941\u092e\u0924 \u092e\u0924\u0926\u093e\u0928, \u092d\u093e\u0930\u093f\u0924 \u092e\u0924\u0926\u093e\u0928)<\/li>\n<\/ul>\n<h2>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0940 \u0906\u0902\u0924\u0930\u093f\u0915 \u0938\u0902\u0930\u091a\u0928\u093e\u0964 k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0948\u0938\u0947 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948<\/h2>\n<p>k-NN \u0915\u0940 \u0915\u093e\u0930\u094d\u092f\u092a\u094d\u0930\u0923\u093e\u0932\u0940 \u0915\u094b \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091a\u0930\u0923\u094b\u0902 \u092e\u0947\u0902 \u0935\u093f\u092d\u093e\u091c\u093f\u0924 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948:<\/p>\n<ol>\n<li><strong>\u0938\u0902\u0916\u094d\u092f\u093e &#039;k&#039; \u091a\u0941\u0928\u0947\u0902<\/strong> \u2013 \u0935\u093f\u091a\u093e\u0930 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u0940 \u0938\u0902\u0916\u094d\u092f\u093e \u0915\u093e \u091a\u092f\u0928 \u0915\u0930\u0947\u0902\u0964<\/li>\n<li><strong>\u0926\u0942\u0930\u0940 \u092e\u0940\u091f\u094d\u0930\u093f\u0915 \u091a\u0941\u0928\u0947\u0902<\/strong> - \u0928\u093f\u0930\u094d\u0927\u093e\u0930\u093f\u0924 \u0915\u0930\u0947\u0902 \u0915\u093f \u0909\u0926\u093e\u0939\u0930\u0923\u094b\u0902 \u0915\u0940 &#039;\u0928\u093f\u0915\u091f\u0924\u093e&#039; \u0915\u094b \u0915\u0948\u0938\u0947 \u092e\u093e\u092a\u093e \u091c\u093e\u090f\u0964<\/li>\n<li><strong>k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u093e \u092a\u0924\u093e \u0932\u0917\u093e\u090f\u0902<\/strong> - \u0928\u090f \u0907\u0902\u0938\u094d\u091f\u0948\u0902\u0938 \u0915\u0947 \u0928\u093f\u0915\u091f\u0924\u092e \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0928\u092e\u0942\u0928\u094b\u0902 &#039;k&#039; \u0915\u0940 \u092a\u0939\u091a\u093e\u0928 \u0915\u0930\u0947\u0902\u0964<\/li>\n<li><strong>\u090f\u0915 \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u0915\u0930\u094b<\/strong> - \u0935\u0930\u094d\u0917\u0940\u0915\u0930\u0923 \u0915\u0947 \u0932\u093f\u090f, \u092c\u0939\u0941\u092e\u0924 \u092e\u0924\u0926\u093e\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902\u0964 \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928 \u0915\u0947 \u0932\u093f\u090f, \u092e\u093e\u0927\u094d\u092f \u092f\u093e \u092e\u093e\u0927\u094d\u092f\u093f\u0915\u093e \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0930\u0947\u0902\u0964<\/li>\n<\/ol>\n<h2>\u0915\u0947-\u090f\u0928\u090f\u0928 (\u0915\u0947-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0940 \u092a\u094d\u0930\u092e\u0941\u0916 \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u0913\u0902 \u0915\u093e \u0935\u093f\u0936\u094d\u0932\u0947\u0937\u0923<\/h2>\n<ul>\n<li><strong>\u0938\u093e\u0926\u0917\u0940<\/strong>: \u0915\u093e\u0930\u094d\u092f\u093e\u0928\u094d\u0935\u092f\u0928 \u0914\u0930 \u0938\u092e\u091d\u0928\u0947 \u092e\u0947\u0902 \u0906\u0938\u093e\u0928\u0964<\/li>\n<li><strong>FLEXIBILITY<\/strong>: \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0926\u0942\u0930\u0940 \u092e\u0948\u091f\u094d\u0930\u093f\u0915\u094d\u0938 \u0915\u0947 \u0938\u093e\u0925 \u0915\u093e\u092e \u0915\u0930\u0924\u093e \u0939\u0948 \u0914\u0930 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0921\u0947\u091f\u093e \u092a\u094d\u0930\u0915\u093e\u0930\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u0905\u0928\u0941\u0915\u0942\u0932\u0928\u0940\u092f \u0939\u0948\u0964<\/li>\n<li><strong>\u0915\u094b\u0908 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u091a\u0930\u0923 \u0928\u0939\u0940\u0902<\/strong>: \u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u091a\u0930\u0923 \u0915\u0947 \u0926\u094c\u0930\u093e\u0928 \u0938\u0940\u0927\u0947 \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0921\u0947\u091f\u093e \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/li>\n<li><strong>\u0936\u094b\u0930\u0917\u0941\u0932 \u0935\u093e\u0932\u0947 \u0921\u0947\u091f\u093e \u0915\u0947 \u092a\u094d\u0930\u0924\u093f \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932<\/strong>\u0906\u0909\u091f\u0932\u093e\u092f\u0930\u094d\u0938 \u0914\u0930 \u0936\u094b\u0930 \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u0928 \u0915\u094b \u092a\u094d\u0930\u092d\u093e\u0935\u093f\u0924 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/li>\n<li><strong>\u0915\u0902\u092a\u094d\u092f\u0942\u091f\u0930 \u0938\u0902\u092c\u0902\u0927\u0940 \u0924\u0940\u0935\u094d\u0930\u0924\u093e<\/strong>: \u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u092e\u0947\u0902 \u0938\u092d\u0940 \u0928\u092e\u0942\u0928\u094b\u0902 \u0915\u0940 \u0926\u0942\u0930\u093f\u092f\u094b\u0902 \u0915\u0940 \u0917\u0923\u0928\u093e \u0915\u0940 \u0906\u0935\u0936\u094d\u092f\u0915\u0924\u093e \u0939\u094b\u0924\u0940 \u0939\u0948\u0964<\/li>\n<\/ul>\n<h2>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0947 \u092a\u094d\u0930\u0915\u093e\u0930<\/h2>\n<p>k-NN \u0915\u0947 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u092a\u094d\u0930\u0915\u093e\u0930 \u0939\u0948\u0902, \u091c\u0948\u0938\u0947:<\/p>\n<table>\n<thead>\n<tr>\n<th>\u092a\u094d\u0930\u0915\u093e\u0930<\/th>\n<th>\u0935\u093f\u0935\u0930\u0923<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u092e\u093e\u0928\u0915 k-NN<\/td>\n<td>\u0938\u092d\u0940 \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0938\u092e\u093e\u0928 \u0935\u091c\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<tr>\n<td>\u092d\u093e\u0930\u093f\u0924 k-NN<\/td>\n<td>\u0906\u092e\u0924\u094c\u0930 \u092a\u0930 \u0926\u0942\u0930\u0940 \u0915\u0947 \u0935\u094d\u092f\u0941\u0924\u094d\u0915\u094d\u0930\u092e \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930, \u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u093f\u092f\u094b\u0902 \u0915\u094b \u0905\u0927\u093f\u0915 \u092e\u0939\u0924\u094d\u0935 \u0926\u093f\u092f\u093e \u091c\u093e\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<tr>\n<td>\u0905\u0928\u0941\u0915\u0942\u0932\u0940 k-NN<\/td>\n<td>\u0907\u0928\u092a\u0941\u091f \u0938\u094d\u092a\u0947\u0938 \u0915\u0940 \u0938\u094d\u0925\u093e\u0928\u0940\u092f \u0938\u0902\u0930\u091a\u0928\u093e \u0915\u0947 \u0906\u0927\u093e\u0930 \u092a\u0930 &#039;k&#039; \u0915\u094b \u0917\u0924\u093f\u0936\u0940\u0932 \u0930\u0942\u092a \u0938\u0947 \u0938\u092e\u093e\u092f\u094b\u091c\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<tr>\n<td>\u0938\u094d\u0925\u093e\u0928\u0940\u092f \u0930\u0942\u092a \u0938\u0947 \u092d\u093e\u0930\u093f\u0924 k-NN<\/td>\n<td>\u0905\u0928\u0941\u0915\u0942\u0932\u0940 &#039;k&#039; \u0914\u0930 \u0926\u0942\u0930\u0940-\u092d\u093e\u0930 \u0926\u094b\u0928\u094b\u0902 \u0915\u094b \u091c\u094b\u0921\u093c\u0924\u093e \u0939\u0948\u0964<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0924\u0930\u0940\u0915\u0947, \u0909\u092a\u092f\u094b\u0917 \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902 \u0914\u0930 \u0909\u0928\u0915\u0947 \u0938\u092e\u093e\u0927\u093e\u0928<\/h2>\n<ul>\n<li><strong>\u092a\u094d\u0930\u092f\u094b\u0917<\/strong>: \u0935\u0930\u094d\u0917\u0940\u0915\u0930\u0923, \u092a\u094d\u0930\u0924\u093f\u0917\u092e\u0928, \u0905\u0928\u0941\u0936\u0902\u0938\u093e \u092a\u094d\u0930\u0923\u093e\u0932\u0940, \u091b\u0935\u093f \u092a\u0939\u091a\u093e\u0928\u0964<\/li>\n<li><strong>\u0938\u092e\u0938\u094d\u092f\u093e<\/strong>: \u0909\u091a\u094d\u091a \u0938\u0902\u0917\u0923\u0928 \u0932\u093e\u0917\u0924, \u0905\u092a\u094d\u0930\u093e\u0938\u0902\u0917\u093f\u0915 \u0938\u0941\u0935\u093f\u0927\u093e\u0913\u0902 \u0915\u0947 \u092a\u094d\u0930\u0924\u093f \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932\u0924\u093e, \u092e\u093e\u092a\u0928\u0940\u092f\u0924\u093e \u0938\u0902\u092c\u0902\u0927\u0940 \u0938\u092e\u0938\u094d\u092f\u093e\u090f\u0902\u0964<\/li>\n<li><strong>\u0938\u092e\u093e\u0927\u093e\u0928<\/strong>: \u092b\u0940\u091a\u0930 \u091a\u092f\u0928, \u0926\u0942\u0930\u0940 \u092d\u093e\u0930, \u0915\u0947\u0921\u0940-\u091f\u094d\u0930\u0940\u091c\u093c \u091c\u0948\u0938\u0940 \u0915\u0941\u0936\u0932 \u0921\u0947\u091f\u093e \u0938\u0902\u0930\u091a\u0928\u093e\u0913\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e\u0964<\/li>\n<\/ul>\n<h2>\u092e\u0941\u0916\u094d\u092f \u0935\u093f\u0936\u0947\u0937\u0924\u093e\u090f\u0901 \u0914\u0930 \u0938\u092e\u093e\u0928 \u0936\u092c\u094d\u0926\u094b\u0902 \u0915\u0947 \u0938\u093e\u0925 \u0905\u0928\u094d\u092f \u0924\u0941\u0932\u0928\u093e\u090f\u0901<\/h2>\n<table>\n<thead>\n<tr>\n<th>\u0917\u0941\u0923<\/th>\n<th>k-\u090f\u0928\u090f\u0928<\/th>\n<th>\u0928\u093f\u0930\u094d\u0923\u092f \u0915\u0947 \u092a\u0947\u0921\u093c<\/th>\n<th>\u090f\u0938\u0935\u0940\u090f\u092e<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>\u092e\u0949\u0921\u0932 \u092a\u094d\u0930\u0915\u093e\u0930<\/td>\n<td>\u0906\u0932\u0938\u0940 \u0938\u0940\u0916\u0928\u093e<\/td>\n<td>\u0909\u0924\u094d\u0938\u0941\u0915\u0924\u093e \u0938\u0947 \u0938\u0940\u0916\u0928\u093e<\/td>\n<td>\u0909\u0924\u094d\u0938\u0941\u0915\u0924\u093e \u0938\u0947 \u0938\u0940\u0916\u0928\u093e<\/td>\n<\/tr>\n<tr>\n<td>\u092a\u094d\u0930\u0936\u093f\u0915\u094d\u0937\u0923 \u091c\u091f\u093f\u0932\u0924\u093e<\/td>\n<td>\u0915\u092e<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<\/tr>\n<tr>\n<td>\u092d\u0935\u093f\u0937\u094d\u092f\u0935\u093e\u0923\u0940 \u091c\u091f\u093f\u0932\u0924\u093e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u0915\u092e<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<\/tr>\n<tr>\n<td>\u0936\u094b\u0930 \u0915\u0947 \u092a\u094d\u0930\u0924\u093f \u0938\u0902\u0935\u0947\u0926\u0928\u0936\u0940\u0932\u0924\u093e<\/td>\n<td>\u0909\u091a\u094d\u091a<\/td>\n<td>\u092e\u0927\u094d\u092f\u092e<\/td>\n<td>\u0915\u092e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u0915\u0947-\u090f\u0928\u090f\u0928 (\u0915\u0947-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0938\u0947 \u0938\u0902\u092c\u0902\u0927\u093f\u0924 \u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0947 \u092a\u0930\u093f\u092a\u094d\u0930\u0947\u0915\u094d\u0937\u094d\u092f \u0914\u0930 \u092a\u094d\u0930\u094c\u0926\u094d\u092f\u094b\u0917\u093f\u0915\u093f\u092f\u093e\u0902<\/h2>\n<p>\u092d\u0935\u093f\u0937\u094d\u092f \u0915\u0940 \u092a\u094d\u0930\u0917\u0924\u093f \u092c\u0921\u093c\u0947 \u0921\u0947\u091f\u093e \u0915\u0947 \u0932\u093f\u090f k-NN \u0915\u094b \u0905\u0928\u0941\u0915\u0942\u0932\u093f\u0924 \u0915\u0930\u0928\u0947, \u0917\u0939\u0928 \u0936\u093f\u0915\u094d\u0937\u0923 \u092e\u0949\u0921\u0932 \u0915\u0947 \u0938\u093e\u0925 \u090f\u0915\u0940\u0915\u0930\u0923, \u0936\u094b\u0930 \u0915\u0947 \u092a\u094d\u0930\u0924\u093f \u092e\u091c\u092c\u0942\u0924\u0940 \u092c\u0922\u093c\u093e\u0928\u0947 \u0914\u0930 \u0939\u093e\u0907\u092a\u0930\u092a\u0948\u0930\u093e\u092e\u0940\u091f\u0930\u094d\u0938 \u0915\u0947 \u091a\u092f\u0928 \u0915\u094b \u0938\u094d\u0935\u091a\u093e\u0932\u093f\u0924 \u0915\u0930\u0928\u0947 \u092a\u0930 \u0915\u0947\u0902\u0926\u094d\u0930\u093f\u0924 \u0939\u094b \u0938\u0915\u0924\u0940 \u0939\u0948\u0964<\/p>\n<h2>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948 \u092f\u093e \u0909\u0928\u094d\u0939\u0947\u0902 k-NN (k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940) \u0915\u0947 \u0938\u093e\u0925 \u0915\u0948\u0938\u0947 \u0938\u0902\u092c\u0926\u094d\u0927 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948<\/h2>\n<p>\u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930, \u091c\u0948\u0938\u0947 \u0915\u093f OneProxy \u0926\u094d\u0935\u093e\u0930\u093e \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u093f\u090f \u0917\u090f, \u0935\u0947\u092c \u0938\u094d\u0915\u094d\u0930\u0948\u092a\u093f\u0902\u0917 \u092f\u093e \u0921\u0947\u091f\u093e \u0938\u0902\u0917\u094d\u0930\u0939 \u0938\u0947 \u091c\u0941\u0921\u093c\u0947 k-NN \u0905\u0928\u0941\u092a\u094d\u0930\u092f\u094b\u0917\u094b\u0902 \u092e\u0947\u0902 \u092d\u0942\u092e\u093f\u0915\u093e \u0928\u093f\u092d\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964 \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0915\u0947 \u092e\u093e\u0927\u094d\u092f\u092e \u0938\u0947 \u0921\u0947\u091f\u093e \u090f\u0915\u0924\u094d\u0930 \u0915\u0930\u0928\u093e \u0917\u0941\u092e\u0928\u093e\u092e\u0940 \u0938\u0941\u0928\u093f\u0936\u094d\u091a\u093f\u0924 \u0915\u0930\u0924\u093e \u0939\u0948 \u0914\u0930 \u092e\u091c\u093c\u092c\u0942\u0924 k-NN \u092e\u0949\u0921\u0932 \u092c\u0928\u093e\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0905\u0927\u093f\u0915 \u0935\u093f\u0935\u093f\u0927 \u0914\u0930 \u0928\u093f\u0937\u094d\u092a\u0915\u094d\u0937 \u0921\u0947\u091f\u093e\u0938\u0947\u091f \u092a\u094d\u0930\u0926\u093e\u0928 \u0915\u0930 \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/p>\n<h2>\u0938\u092e\u094d\u092c\u0902\u0927\u093f\u0924 \u0932\u093f\u0902\u0915\u094d\u0938<\/h2>\n<ul>\n<li><a href=\"https:\/\/scikit-learn.org\/stable\/modules\/neighbors.html\" target=\"_new\" rel=\"noopener nofollow\">Scikit-learn k-NN \u0926\u0938\u094d\u0924\u093e\u0935\u0947\u091c\u093c\u0940\u0915\u0930\u0923<\/a><\/li>\n<li><a href=\"https:\/\/en.wikipedia.org\/wiki\/K-nearest_neighbors_algorithm\" target=\"_new\" rel=\"noopener nofollow\">k-\u0928\u093f\u0915\u091f\u0924\u092e \u092a\u0921\u093c\u094b\u0938\u0940 \u090f\u0932\u094d\u0917\u094b\u0930\u093f\u0925\u094d\u092e \u092a\u0930 \u0935\u093f\u0915\u093f\u092a\u0940\u0921\u093f\u092f\u093e \u092a\u0943\u0937\u094d\u0920<\/a><\/li>\n<li><a href=\"https:\/\/oneproxy.pro\/in\/\" target=\"_new\" rel=\"noopener\">OneProxy - \u092a\u094d\u0930\u0949\u0915\u094d\u0938\u0940 \u0938\u0930\u094d\u0935\u0930 \u0938\u092e\u093e\u0927\u093e\u0928<\/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\/in\/wp-json\/wp\/v2\/wiki\/477783","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/wiki\/477783\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media\/468739"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/in\/wp-json\/wp\/v2\/media?parent=477783"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}