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nnmf
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", "1.0") Attach the package and use:
library("nnmf")
Maintained by
Michail Tsagris
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[Scholar Profile | Author Map]
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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 1.0, https://cran.r-project.org/web/packages/nnmf. Accessed 12 Mar. 2026.
Previous versions and publish date:
1.0 (2026-01-09 16:10)
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