MATLAB Implementation of 2DPCA with Algorithm Explanations

A concise MATLAB implementation of 2DPCA (Two-Dimensional Principal Component Analysis) designed for academic projects. Unlike some complex foreign implementations, this version focuses on clarity and practicality. The code includes proper matrix operations for covariance calculation and eigenvalue decomposition, ensuring correctness through rigorous testing. Suitable for beginners learning pattern recognition and experienced users needing a reliable 2DPCA baseline.