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rnnmf
View on CRAN: Click
here
Download and install rnnmf package within the R console
Install from CRAN:
install.packages("rnnmf")
Install from Github:
library("remotes")
install_github("cran/rnnmf")
Install by package version:
library("remotes")
install_version("rnnmf", "0.3.0")
Attach the package and use:
library("rnnmf")
Maintained by
Steven E. Pav
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rnnmf . https://github.com/shabbychef/rnnmf/issues . https://github.com/shabbychef/rnnmf . rnnmf citation info . rnnmf results . rnnmf.pdf . rnnmf_0.3.0.tar.gz . rnnmf_0.3.0.zip . rnnmf_0.3.0.zip . rnnmf_0.3.0.zip . rnnmf_0.3.0.tgz . rnnmf_0.3.0.tgz . rnnmf_0.3.0.tgz . rnnmf_0.3.0.tgz . rnnmf_0.3.0.tgz . rnnmf_0.3.0.tgz . https://CRAN.R-project.org/package=rnnmf .
First Published: 2024-11-04
Latest Update: 2024-11-04
Description:
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>.
How to cite:
Steven E. Pav (2024). rnnmf: Regularized Non-Negative Matrix Factorization. R package version 0.3.0, https://cran.r-project.org/web/packages/rnnmf. Accessed 04 Apr. 2025.
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