PCA

one number = linear regression.

PC1 = main point PC2 = ‘nuance’.

represents data by largest k components.

has reconstruction error - minimize

Linear encoder and decoder, orthogonal constraint, with autoencoding.

e.g. EigenFace

PCA looks like DCT basis

Last Reviewed: 10/25/2025