Principal Component Analysis (2D)
August 15, 2025
From centering the data to deriving Var(z) = w^T S w and solving the eigenvalue problem, this article explains PCA step-by-step using the maximum variance approach.
PCALinear AlgebraEigenvaluesEigenvectors