MATLAB Code Implementation of PCA Steps

PCA Implementation Steps: 1. Center the data (mean normalization); 2. Compute the covariance matrix; 3. Calculate eigenvalues and eigenvectors of the covariance matrix; 4. Sort eigenvalues and corresponding eigenvectors; 5. Determine projection direction based on target dimensionality d'; 6. Compute dimensionally reduced data