Eigendecomposition and PCA

Eigendecomposition is a technique that finds "special" vectors associated with square matrices. Eigendecomposition is the basis for many important techniques in data analysis, including principal components analyses, blind-source-separation, and other spatial filters. You'll also see a comparison between PCA and ICA.

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Видео Eigendecomposition and PCA канала Mike X Cohen