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rBMF  

Boolean Matrix Factorization
View on CRAN: Click here


Download and install rBMF package within the R console
Install from CRAN:
install.packages("rBMF")

Install from Github:
library("remotes")
install_github("cran/rBMF")

Install by package version:
library("remotes")
install_version("rBMF", "1.1")



Attach the package and use:
library("rBMF")
Maintained by
Abdelmoneim Amer Desouki
[Scholar Profile | Author Map]
First Published: 2020-06-25
Latest Update: 2021-01-13
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) .
How to cite:
Abdelmoneim Amer Desouki (2020). rBMF: Boolean Matrix Factorization. R package version 1.1, https://cran.r-project.org/web/packages/rBMF. Accessed 27 Mar. 2025.
Previous versions and publish date:
1.0 (2020-06-25 14:00)
Other packages that cited rBMF R package
View rBMF citation profile
Other R packages that rBMF depends, imports, suggests or enhances
Complete documentation for rBMF
Functions, R codes and Examples using the rBMF R package
Some associated functions: Asso_approximate . Chess . DBLP . GreConD . GreConDPlus . rBMF-package . topFiberM . 
Some associated R codes: Asso2R.R . GreConDPlus.R . GreCond.R . topFiberM.R .  Full rBMF package functions and examples
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