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  "Title": "Regularized Non-Negative Matrix Factorization",
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  "Description": "A proof of concept implementation of regularized\nnon-negative matrix factorization optimization. A non-negative\nmatrix factorization factors non-negative matrix Y\napproximately as L R, for non-negative matrices L and R of\nreduced rank. This package supports such factorizations with\nweighted objective and regularization penalties. Allowable\nregularization penalties include L1 and L2 penalties on L and\nR, as well as non-orthogonality penalties. This package\nprovides multiplicative update algorithms, which are a\nmodification of the algorithm of Lee and Seung (2001)\n<http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf>,\nas well as an additive update derived from that multiplicative\nupdate.  See also Pav (2024) <doi:10.48550/arXiv.2410.22698>.",
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