Kernel Fisher Discriminant Analysis (KFDA)

Kernel Fisher Discriminant Analysis (KFDA) - A nonlinear extension of Fisher Discriminant Analysis where training samples are first mapped to a high-dimensional feature space F using nonlinear mapping φ, then standard Fisher Discriminant Analysis is performed in this kernel-induced space.

MATLAB Implementation of Fisher Linear Discriminant Analysis (FLDA) for Feature Dimensionality Reduction

MATLAB code implementation of Fisher Linear Discriminant Analysis (FLDA) for multivariate data analysis, including feature dimensionality reduction, feature fusion, and correlation analysis with detailed algorithm explanations and computational implementation.

MATLAB Code Implementation for Feature Dimensionality Reduction

MATLAB Implementation of Feature Dimensionality Reduction Algorithm