Kernel PCA

Non-linear dimension reduction using kernel PCA.

This technique takes advantage of the kernel trick that can be used in PCA. This is a tutorial only and is slow for large data sets.
In line 30 the kernel can be changed. Any Kernel should do it.
Ref : http://www.eecs.berkeley.edu/~wainwrig/stat241b/scholkopf_kernel.pdf