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.