Synopsis
Introduction.- Eigenvalue and singular value decomposition.- Principal component analysis neural networks.- Minor component analysis neural networks.- Dual purpose methods for principal and minor component analysis.- Deterministic discrete time system for PCA or MCA methods.- Generalized feature extraction method.- Coupled principal component analysis.- Singular feature extraction neural networks
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