14 min read
Why Does PCA Work? A Geometric and Statistical Derivation
A step-by-step derivation of principal component analysis, connecting variance maximization, covariance eigenvectors, and optimal linear reconstruction.
Blog topic
Dimensionality Reduction
1 article on this topic.