Multicriteria Relational Clustering: The Case of Binary Outranking Matrices

  • Yves De Smet
  • Stefan Eppe
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5467)


In this paper we address the question of multicriteria relational clustering. We develop a method that builds clusters and relations between these clusters on the basis of a binary outranking matrix. An extension of the k-means algorithm is presented and tested on artificial data sets. Finally, an example about the clustering of journals from the field of “Operations Research and Management Science” is illustrated.


Reference Case Journal Citation Report Vote Procedure Relational Partition Outrank Relation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Yves De Smet
    • 1
  • Stefan Eppe
    • 1
  1. 1.CoDE – SMGUniversité Libre de BruxellesBrusselsBelgium

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