Kernel Principal Component Analysis Method

Kernel Principal Component Analysis is an enhanced algorithm based on Principal Component Analysis, serving as a nonlinear feature extraction technique that utilizes kernel functions to map data into higher-dimensional spaces for improved pattern recognition.