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PCA与SVD降维的区别 #2

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YuAirLab opened this issue Apr 7, 2019 · 0 comments

YuAirLab commented Apr 7, 2019

张老师好：

在作业2中，对手写字进行降维。PPT中讲到了两种降维方法：一种是通过直接对归一化数据矩阵SVD实现降维，另一种是对归一化数据的离散度矩阵（协方差矩阵）特征分解降维。那这两种方法的有什么区别、降维结果都是一致的吗？

谢谢张老师~

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