kCCA: Kernel Canonical Correlation Analysis - A Hybrid Approach Combining Kernel Methods and Correlation Analysis

kCCA represents an advanced hybrid model integrating kernel classifiers with canonical correlation analysis, designed to handle non-linear relationships while maximizing inter-dataset correlations through kernel transformations.