Simultaneous Clustering : a survey
Résumé
Although most of the clustering literature focuses on one- sided clustering algorithms, simultaneous clustering has recently gained attention as a powerful tool that allows to circumvent some limitations of classical clustering approach. Simultaneous clustering methods per- form clustering in the two dimensions simultaneously. In this paper, we introduce a large number of existing simultaneous clustering approaches applied in bioinformatics as well as in text mining, web mining and infor- mation retrieval and classify them in accordance with the methods used to perform the clustering and the target applications.