January 2019
Intermediate to advanced
294 pages
6h 43m
English
The Kernel PCA is an algorithm that not only keeps the main spirit of PCA as it is, but goes a step further to make use of the kernel trick so that it is operational for non-linear data:

It is similar to the one we used for PCA.

Here, CF is the covariance matrix of the data in feature ...