Intro to Neural Computation - 17 - Principal Components Analysis
Covers eigenvalues and eigenvectors, Gaussian distributions, computing covariance matrices, and principal components analysis (PCA).
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Covers eigenvalues and eigenvectors, Gaussian distributions, computing covariance matrices, and principal components analysis (PCA).