KNN與KD-Tree

原創 panbiao1999 2020-06-22 13:25

k近鄰

K近鄰（k nearest neighbor algorithm，k-NN)是一種機器學習中的基本分類算法，其基本思想是：計算待分類節點與樣本節點間的距離，找出其中距離最小的K個樣本，根據這K個樣本的分類情況，來確定待分類節點的類型

當樣本節點比較多時，找出距離最小的K個樣本的計算量會變得很大，於是有了k-d樹算法


k-d樹

k-d樹算法的思想是：將所有的樣本節點，組織成一棵平衡二叉樹，每個節點的左子樹是位於該樣本左邊的樣本，右子樹是位於該樣本



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