CiteULike is a free online bibliography manager. Register and you can start organising your references online.

A Greedy Search Approach to Co-clustering Sparse Binary Matrices Export

Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on In Tools with Artificial Intelligence, 2006. ICTAI '06. 18th IEEE International Conference on (2006), pp. 363-370.

Citation Format

[Posts]

View FullText article


daniel51's tags for this article

clustering

X Reviews [Write a review of this article]

X Find related articles from these CiteULike users

X Find related articles with these CiteULike tags

X Posting History

X Abstract

A co-clustering algorithm for large sparse binary data matrices, based on a greedy technique and enriched with a local search strategy to escape poor local maxima, is proposed. The algorithm starts with an initial random solution and searches for a locally optimal solution by successive transformations that improve a quality function which combines row and column means together with the size of the co-cluster. Experimental results on synthetic and real data sets show that the method is able to find significant co-clusters


X BibTeX record

X RIS record


Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.