PCA — 数据降维

原数据,2维:(3,4),(6,8)

新数据,2维:(5,0), (10,0)

最终简化为一维:5, 10

从几何来理解,就是坐标轴的旋转。

这里降维的理由:所有的点实际上都是分布在y=(4/3)X这条斜线上的。

relat­ed posts:

1. http://www.iro.umontreal.ca/~pift6080/H09/documents/papers/pca_tutorial.pdf

2. https://stats.stackexchange.com/questions/90331/step-by-step-implementation-of-pca-in-r-using-lindsay-smiths-tutorial

3. http://www.cnblogs.com/pangxiaodong/archive/2011/10/15/2212786.html

 

 

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