期刊
COMPUTERS & OPERATIONS RESEARCH
卷 35, 期 9, 页码 2964-2987出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cor.2007.01.005
关键词
data mining; biclustering; classification; clustering; survey
Biclustering consists in simultaneous partitioning of the set of samples and the set of their attributes (features) into subsets (classes). Samples and features classified together are supposed to have a high relevance to each other. In this paper we review the most widely used and successful biclustering techniques and their related applications. This survey is written from a theoretical viewpoint emphasizing mathematical concepts that can be met in existing biclustering techniques. (c) 2007 Published by Elsevier Ltd.
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