PCA, LDA, and LPP: Three Classic Approaches for Face Recognition
Comparative Analysis of PCA, LDA, and LPP for Feature Dimensionality Reduction in Face Recognition Systems
MATLAB Implementation and Documentation of Kernel Principal Component Analysis (KPCA) Algorithm
Comprehensive MATLAB Implementation and Technical Explanation of Kernel PCA Algorithm with Code-Related Enhancements
MATLAB Code Implementation for PCA Feature Extraction
MATLAB implementation of PCA feature extraction with code-level explanations
Face Recognition Using Eigenfaces
Implementation of face recognition using the eigenfaces method based on Principal Component Analysis (PCA)
Manifold Learning Algorithms including MDS, PCA, ISOMAP, LLE and More
Manifold Learning Algorithms including MDS, PCA, ISOMAP, LLE and Other Popular Dimensionality Reduction Techniques