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rnnmf

Regularized Non-Negative Matrix Factorization

A proof of concept implementation of regularized non-negative matrix factorization optimization. A non-negative matrix factorization factors non-negative matrix Y approximately as L R, for non-negative matrices L and R of reduced rank. This package supports such factorizations with weighted objective and regularization penalties. Allowable regularization penalties include L1 and L2 penalties on L and R, as well as non-orthogonality penalties. This package provides multiplicative update algorithms, which are a modification of the algorithm of Lee and Seung (2001) <http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf>, as well as an additive update derived from that multiplicative update. See also Pav (2004) <doi:10.48550/arXiv.2410.22698>.

Versions across snapshots

VersionRepositoryFileSize
0.3.0 rolling linux/jammy R-4.5 rnnmf_0.3.0.tar.gz 557.6 KiB
0.3.0 rolling linux/noble R-4.5 rnnmf_0.3.0.tar.gz 557.6 KiB
0.3.0 rolling source/ R- rnnmf_0.3.0.tar.gz 621.5 KiB
0.3.0 latest linux/jammy R-4.5 rnnmf_0.3.0.tar.gz 557.6 KiB
0.3.0 latest linux/noble R-4.5 rnnmf_0.3.0.tar.gz 557.6 KiB
0.3.0 latest source/ R- rnnmf_0.3.0.tar.gz 621.5 KiB
0.3.0 2026-04-26 source/ R- rnnmf_0.3.0.tar.gz 621.5 KiB
0.3.0 2026-04-23 source/ R- rnnmf_0.3.0.tar.gz 621.5 KiB
0.3.0 2026-04-09 windows/windows R-4.5 rnnmf_0.3.0.zip 558.7 KiB
0.3.0 2025-04-20 source/ R- rnnmf_0.3.0.tar.gz 621.5 KiB

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