knn（最邻近分类）

Basic (7/10) ◦ 1) Develop a k-NN classifier with Euclidean distance and simple voting ◦ 2) Perform 5-fold cross validation, find out which k performs the best (in  terms of accuracy) ◦ 3) Use PCA to reduce the dimensionality to 6, then perform 2) again. Does  PCA improve the accuracy? Plus (at most 3/10) ◦ Explore the data before classification using summary statistics or  visualization (+0.5) ◦ Pre-process the data (such as denoising, normalization, feature selection, …)  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

knn
exp1.m
exp2.asv
exp2.m
exp3.m
exp4.m