
Kernel Canonical Correlation Analysis
kcca_correlate.Rd
Computes the canonical correlation analysis in feature space.
Kernel Canonical Correlation Analysis (KCCA) is a non-linear extension of CCA.
Given two random variables (or datasets), KCCA aims at extracting the information which is shared by the two random variables (or datasets).
more information found at kernlab::kcca()