Package: rBMF 1.1

Abdelmoneim Amer Desouki

rBMF: Boolean Matrix Factorization

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) <arxiv:1903.10326>.

Authors:Abdelmoneim Amer Desouki

rBMF_1.1.tar.gz
rBMF_1.1.tar.gz(r-4.5-noble)rBMF_1.1.tar.gz(r-4.4-noble)
rBMF_1.1.tgz(r-4.4-emscripten)rBMF_1.1.tgz(r-4.3-emscripten)
rBMF.pdf |rBMF.html
rBMF/json (API)
NEWS

# Install 'rBMF' in R:
install.packages('rBMF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 122 downloads 4 exports 3 dependencies

Last updated 4 years agofrom:614cf16a8d. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linuxOKDec 02 2024

Exports:Asso_approximateGreConDGreConDPlustopFiberM

Dependencies:latticeMatrixRcpp