Principal Component Analysis-Based Face Recognition MATLAB Source Code

MATLAB source code implementing face recognition using Principal Component Analysis, employing SVD decomposition for principal component extraction with optimized matrix operations and classification functions

MATLAB Implementation of PCA Algorithm with Projection Visualization

Implementing Principal Component Analysis (PCA) in MATLAB to calculate and visualize image projections onto the first, second, and third principal components. This tutorial covers the complete workflow from image preprocessing to projection reconstruction with code implementation details.

Noise Reduction Using Singular Value Decomposition

Denoising with Principal Components After Singular Value Decomposition with Algorithm Implementation Details