PCA Dimensionality Reduction Followed by LDA Classification for Face Recognition

This implementation includes two core modules (PCA and LDA) that perform principal component analysis for dimensionality reduction followed by linear discriminant analysis for classification, achieving excellent experimental results in face recognition applications.

PCA Dimensionality Reduction Followed by LDA Classification for Face Recognition

A face recognition approach combining PCA dimensionality reduction with LDA classification, demonstrating effective feature extraction and pattern recognition capabilities.