中文说明：matlab练习程序（KNN，K最邻近分类法） K最邻近密度估计技术是一种分类方法，不是聚类方法。不是最优方法，实践中比较流行。通俗但不一定易懂的规则是： 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
English Description：
MATLAB training programs (KNN,K nearest neighbor classification) k-nearest neighbor density estimation technique is a method of classification, not clustering methods. Is not the best method, popular in practice. Popular but not necessarily straightforward rules are: 1. calculation data to be disaggregated data and each in a different class of distance (Euclidean or Mahalanobis). 2. choose the smallest k data from before, there used to select sort method. 3. compare the k distance before, find k data contains most of the classes of data, namely for categories containing class.