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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:614cf16a8d. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 02 2024 |
| R-4.5-linux | OK | Nov 02 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Boolean Matrix Factorization | rBMF-package rBMF |
| Asso: Boolean Matrix Factorization | Asso_approximate |
| Chess dataset | Chess |
| DBLP dataset | DBLP |
| GreConD Boolean matrix factorization | GreConD |
| GreConDPlus Boolean Matrix Factorization | GreConDPlus |
| topFiberM | topFiberM |