seniorLinear Algebra
What is the mathematical reason PCA works?
Updated May 16, 2026
Short answer
PCA finds eigenvectors of covariance matrix maximizing variance.
Deep explanation
PCA projects data onto directions of maximum variance. These directions are eigenvectors of covariance matrix, and eigenvalues represent explained variance.
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