nnmf
Nonnegative Matrix Factorization
Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. Covariates are also allowed. Parallel computing is an option to enhance the speed and high-dimensional and large scale (and/or sparse) data are allowed. Relevant papers include: Wang Y. X. and Zhang Y. J. (2012). Nonnegative matrix factorization: A comprehensive review. IEEE Transactions on Knowledge and Data Engineering, 25(6): 1336-1353 <doi:10.1109/TKDE.2012.51> and Kim H. and Park H. (2008). Nonnegative matrix factorization based on alternating nonnegativity constrained least squares and active set method. SIAM Journal on Matrix Analysis and Applications, 30(2): 713-730 <doi:10.1137/07069239X>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4 |
rolling linux/jammy R-4.5 | nnmf_1.4.tar.gz |
166.5 KiB |
1.4 |
rolling linux/noble R-4.5 | nnmf_1.4.tar.gz |
173.0 KiB |
1.4 |
rolling source/ R- | nnmf_1.4.tar.gz |
13.5 KiB |
1.4 |
latest linux/jammy R-4.5 | nnmf_1.4.tar.gz |
166.5 KiB |
1.4 |
latest linux/noble R-4.5 | nnmf_1.4.tar.gz |
173.0 KiB |
1.4 |
latest source/ R- | nnmf_1.4.tar.gz |
13.5 KiB |
1.4 |
2026-04-26 source/ R- | nnmf_1.4.tar.gz |
13.5 KiB |
1.4 |
2026-04-23 source/ R- | nnmf_1.4.tar.gz |
13.5 KiB |
1.3 |
2026-04-09 windows/windows R-4.5 | nnmf_1.3.zip |
547.5 KiB |