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.zip(r-4.7-any)rBMF_1.1.zip(r-4.6-any)
rBMF_1.1.tar.gz(r-4.7-any)rBMF_1.1.tar.gz(r-4.6-any)
rBMF_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rBMF/json (API)

# Install 'rBMF' in R:
install.packages('rBMF', repos = c('https://cran.r-universe.dev', '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 245 downloads 4 exports 3 dependencies

Last updated from:614cf16a8d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesOK162
linux-releaseOK120
windows-develOK75
windows-releaseOK90
wasm-releaseOK106

Exports:Asso_approximateGreConDGreConDPlustopFiberM

Dependencies:latticeMatrixRcpp