Principal Component Analysis (Kernel)


Synopsis

Performs a kernel principal component analysis (PCA).


Description

This operator performs a kernel-based principal components analysis (PCA). Hence, the result will be the set of data points in a non-linearly transformed space. Please note that in contrast to the usual linear PCA the kernel variant does also works for large numbers of attributes but will become slow for large number of examples.


Input


Output


Parameters


ExampleProcess