PCA是研究如何通过少数几个主分量来解释多变量的方差- - 协方差结构, 是一种有效的特征提取方法- PCA studies how to explain the variance of multivariable- covariance structure through a few principal components and it is a kind of effective method of feature extraction

【谷速软件】多变量函数的最速下降法 ” 可以做为参考使用 -[Software] Valley speed multivariable function steepest descent method can be used as a reference to use