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Nonnegative matrix factorization (NMF) is a technique to factorize a matrix with nonnegative values into the product of two matrices. 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>.
| Version: | 1.0 |
| Depends: | R (≥ 4.0) |
| Imports: | ClusterR, Matrix, osqp, parallel, quadprog, Rfast, Rfast2, Rglpk, sparcl, stats |
| Published: | 2026-01-09 |
| DOI: | 10.32614/CRAN.package.nnmf |
| Author: | Michail Tsagris [aut, cre] |
| Maintainer: | Michail Tsagris <mtsagris at uoc.gr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | nnmf results |
| Reference manual: | nnmf.html , nnmf.pdf |
| Package source: | nnmf_1.0.tar.gz |
| Windows binaries: | r-devel: nnmf_1.0.zip, r-release: nnmf_1.0.zip, r-oldrel: nnmf_1.0.zip |
| macOS binaries: | r-release (arm64): nnmf_1.0.tgz, r-oldrel (arm64): nnmf_1.0.tgz, r-release (x86_64): nnmf_1.0.tgz, r-oldrel (x86_64): nnmf_1.0.tgz |
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