e/Kernel principal component analysis

Information
has gloss	eng: Kernel principal component analysis (kernel PCA) is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are done in a reproducing kernel Hilbert space with a non-linear mapping.
lexicalization	eng: Kernel principal component analysis
instance of	c/Kernel methods for machine learning

Media
media:img	Kernel pca input.png
media:img	Kernel pca output gaussian.png
media:img	Kernel pca output.png