Mirkin, Boris and Kramarenko, A.V. (2011) Approximate bicluster and tricluster boxes in the analysis of binary data. In: Kuznetsov, S.O. and Ślęzak, D. and Hepting, D.H. and Mirkin, Boris (eds.) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. Berlin, Germany: Springer Verlag, pp. 248-256. ISBN 9783642218811.
Abstract
A disjunctive model of box bicluster and tricluster analysis is considered. A least-squares locally-optimal one cluster method is proposed, oriented towards the analysis of binary data. The method involves a parameter, the scale shift, and is proven to lead to ”contrast” box bi- and tri-clusters. An experimental study of the method is reported.
Metadata
| Item Type: | Book Section |
|---|---|
| Keyword(s) / Subject(s): | box, bicluster, tricluster |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Research Centres and Institutes: | Structural Molecular Biology, Institute of (ISMB) |
| Depositing User: | Sarah Hall |
| Date Deposited: | 26 Jul 2013 08:30 |
| Last Modified: | 09 Aug 2023 12:33 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7826 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
