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This lecture introduces the concept of Principal Component Analysis (PCA) for dimensionality reduction. The mathematical derivation of PCA is presented based on maximizing the variance of the orthogonally projected points or minimizing the error in the lengths of orthogonal projections.
16 сен 2024