摘要: To summarize, principal component analysis involves evaluating the mean x and the covariance matrix S of the data set and then finding the M eigenvect 阅读全文
posted @ 2018-10-04 17:55 东宫得臣 阅读(146) 评论(0) 推荐(0) 编辑