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) doi:10.48550/arXiv.1903.10326.
- Version1.1
- R version≥ 3.2.0
- LicenseGPL-3
- Needs compilation?No
- Last release01/13/2021
Documentation
Team
Abdelmoneim Amer Desouki
Insights
Last 30 days
This package has been downloaded 129 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 2 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 1,706 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 23 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends2 packages