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nnmf  

Nonnegative Matrix Factorization
View on CRAN: Click here


Download and install nnmf package within the R console
Install from CRAN:
install.packages("nnmf")

Install from Github:
library("remotes")
install_github("cran/nnmf")

Install by package version:
library("remotes")
install_version("nnmf", "1.6")



Attach the package and use:
library("nnmf")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-09
Latest Update: 2026-01-09
Description:
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>.
How to cite:
Michail Tsagris (2026). nnmf: Nonnegative Matrix Factorization. R package version 1.6, https://cran.r-project.org/web/packages/nnmf. Accessed 29 Oct. 2026.
Previous versions and publish date:
(2026-07-27 20:20), 1.0 (2026-01-09 16:10), 1.1 (2026-02-03 12:10), 1.3 (2026-03-17 11:10), 1.4 (2026-04-13 01:30)
Other packages that cited nnmf R package
View nnmf citation profile
Other R packages that nnmf depends, imports, suggests or enhances
Complete documentation for nnmf
Functions, R codes and Examples using the nnmf R package
Full nnmf package functions and examples
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