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 = 'https://cloud.r-project.org')
Datasets:

On CRAN:

Conda:

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

1.00 score 136 downloads 4 exports 3 dependencies

Last updated 4 years agofrom:614cf16a8d. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linuxOKApr 01 2025
R-4.4-linuxOKApr 01 2025

Exports:Asso_approximateGreConDGreConDPlustopFiberM

Dependencies:latticeMatrixRcpp

Citation

To cite package ‘rBMF’ in publications use:

Desouki AA (2021). rBMF: Boolean Matrix Factorization. R package version 1.1, https://CRAN.R-project.org/package=rBMF.

ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.

Corresponding BibTeX entry:

  @Manual{,
    title = {rBMF: Boolean Matrix Factorization},
    author = {Abdelmoneim Amer Desouki},
    year = {2021},
    note = {R package version 1.1},
    url = {https://CRAN.R-project.org/package=rBMF},
  }