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Lecture
PCA: Derivation and Optimization
Description
This lecture covers the derivation of the projection in PCA, the reconstruction process through error minimization, and the optimization to choose the optimal eigenvectors. It explains how to maximize variance, the properties of PCA projections, and the PCA algorithm step by step.
Official source
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