Wolfram Language Paclet Repository
Community-contributed installable additions to the Wolfram Language
Dimension reduction functions
Independent Component Analysis
The Independent Component Analysis (ICA) is a matrix factorization method that utilizes Gram-Schmidt orthogonalization by considering two vectors (two signals) to be orthogonal if their difference is Gaussian white noise.
— decomposes a matrix into ICA matrix factors
Non-Negative Matrix Factorization
Non-negative matrix factorization (NNMF) is a matrix factorization method that reduces the dimensionality of a given matrix.
— decomposes a matrix into NNMF matrix factors
— allows reuse of already computed matrix factors
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