BMaD – Boolean Matrix Decomposition

BMaD – Boolean Matrix Decomposition

The goal of a Boolean matrix decomposition (BMD) is to represent a given Boolean matrix as a product of two or more Boolean factor matrices. It is a well-known and researched problem with a wide range of applications, e.g. in multi-label classification, clustering, bioinformatics, or pattern mining.

The BMaD library is available at Github.


Wicker, Jörg; Hua, Yan Cathy; Rebello, Rayner; Pfahringer, Bernhard

XOR-based Boolean Matrix Decomposition Inproceedings Forthcoming

International Conference on Data Mining, IEEE, Forthcoming.

Abstract | BibTeX


Tyukin, Andrey; Kramer, Stefan; Wicker, Jörg

BMaD -- A Boolean Matrix Decomposition Framework Inproceedings

Calders, Toon; Esposito, Floriana; Hüllermeier, Eyke; Meo, Rosa (Ed.): Machine Learning and Knowledge Discovery in Databases, pp. 481-484, Springer Berlin Heidelberg, 2014, ISBN: 978-3-662-44844-1.

Abstract | Links | BibTeX | Altmetric


Wicker, Jörg; Pfahringer, Bernhard; Kramer, Stefan

Multi-label Classification Using Boolean Matrix Decomposition Inproceedings

Proceedings of the 27th Annual ACM Symposium on Applied Computing, pp. 179–186, ACM, 2012, ISBN: 978-1-4503-0857-1.

Abstract | Links | BibTeX | Altmetric