Simultaneous Clustering: A Survey

  • Malika Charrad
  • Mohamed Ben Ahmed
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)

Abstract

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 perform 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 information retrieval and classify them in accordance with the methods used to perform the clustering and the target applications.

Keywords

Simultaneous clustering Biclusters Block clustering 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Malika Charrad
    • 1
  • Mohamed Ben Ahmed
    • 1
  1. 1.National School of Computer ScienceManouba UniversityTunisia

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