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rBMF (version 1.1)

Boolean Matrix Factorization

Description

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) , 'GreConD' R. Belohlavek, V. Vychodil (2010) , 'GreConDPlus' R. Belohlavek, V. Vychodil (2010) , 'topFiberM' A. Desouki, M. Roeder, A. Ngonga (2019) .

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Version

Install

install.packages('rBMF')

Monthly Downloads

183

Version

1.1

License

GPL-3

Maintainer

Abdelmoneim Desouki

Last Published

January 13th, 2021

Functions in rBMF (1.1)

Asso_approximate

Asso: Boolean Matrix Factorization
Chess

Chess dataset
topFiberM

topFiberM
rBMF-package

rBMF
GreConDPlus

GreConDPlus Boolean Matrix Factorization
GreConD

GreConD Boolean matrix factorization
DBLP

DBLP dataset