MATLAB Implementation of LVQ Neural Network

Programming LVQ neural networks with clear classification effects, featuring code structure explanation and key algorithm implementation details for practical application.

Fisher Linear Classifier - The Most Commonly Used Linear Discriminant in Pattern Recognition

This is the Fisher Linear Discriminant, the most widely used linear classifier in pattern recognition, which demonstrates classification results by plotting decision boundaries and visualizing classification effectiveness through scatter plots and separation lines.

Face Recognition Using KPCA and SVM

KPCA and SVM combined for face recognition - SVM enhances classification performance while KPCA provides superior feature extraction using kernel functions inspired by SVM methodology