The KPCA algorithm belongs to the nonlinear high-dimensional data set dimension reduction. The algorithm is very simple. The data is not linearly separable in the low-dimensional space, but can be linearly separable in the high-dimensional space.

Filename	Size	Update
KPCA\KPCA.py	1654	2018-10-14
KPCA	0	2019-02-27
KPCA\KPCA.docx	63584	2019-02-27

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