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Provides four boolean matrix factorization (BMF) methods. BMF has many applications like data mining and categorical data analysis. BMF is also known as boolean matrix decomposition (BMD) and was found to be an NP-hard (non-deterministic polynomial-time) problem. Currently implemented methods are 'Asso' Miettinen, Pauli and others (2008) <doi:10.1109/TKDE.2008.53>, 'GreConD' R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , 'GreConDPlus' R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , 'topFiberM' A. Desouki, M. Roeder, A. Ngonga (2019) <doi:10.48550/arXiv.1903.10326>.
Version: | 1.1 |
Depends: | R (≥ 3.2.0), Matrix, methods, Rcpp |
Published: | 2021-01-13 |
DOI: | 10.32614/CRAN.package.rBMF |
Author: | Abdelmoneim Amer Desouki |
Maintainer: | Abdelmoneim Amer Desouki <desouki at hhu.de> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | rBMF results |
Reference manual: | rBMF.pdf |
Package source: | rBMF_1.1.tar.gz |
Windows binaries: | r-devel: rBMF_1.1.zip, r-release: rBMF_1.1.zip, r-oldrel: rBMF_1.1.zip |
macOS binaries: | r-release (arm64): rBMF_1.1.tgz, r-oldrel (arm64): rBMF_1.1.tgz, r-release (x86_64): rBMF_1.1.tgz, r-oldrel (x86_64): rBMF_1.1.tgz |
Old sources: | rBMF archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.