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Multicriteria Relational Clustering: The Case of Binary Outranking Matrices

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Evolutionary Multi-Criterion Optimization (EMO 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5467))

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Abstract

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.

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Authors and Affiliations

  1. CoDE – SMG, Université Libre de Bruxelles, Brussels, Belgium

    Yves De Smet & Stefan Eppe

Authors
  1. Yves De Smet
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  2. Stefan Eppe
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Editor information

Editors and Affiliations

  1. Department of Engineering Science, The University of Auckland, 70 Symonds Street, Room 415, 1001, Auckland, New Zealand

    Matthias Ehrgott

  2. Faculty of Science and Technolgoy, Department of Electronic Engineering and Informatics, Universidade do Algarve, Campus de Gambelas, 8005-139, Faro, Portugal

    Carlos M. Fonseca

  3. Laboratoire d’ Informatique de Nantes -LINA, UMR CNRS 6241, Université de Nantes, 2, Rue de la Houssinière, BP 92208, 44322, Nantes Cedex 03, France

    Xavier Gandibleux

  4. LERIA, Faculty of Sciences, Université d’Angers, 2 Boulevard Lavoisier, 49045, Angers Cedex 01, France

    Jin-Kao Hao

  5. Université de Bretagne-sud - UEB CNRS, UMR 3192 - Lab-STICC, Centre de Recherche,, BP 92116, 56321, Lorient Cedex, France

    Marc Sevaux

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© 2009 Springer-Verlag Berlin Heidelberg

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De Smet, Y., Eppe, S. (2009). Multicriteria Relational Clustering: The Case of Binary Outranking Matrices. In: Ehrgott, M., Fonseca, C.M., Gandibleux, X., Hao, JK., Sevaux, M. (eds) Evolutionary Multi-Criterion Optimization. EMO 2009. Lecture Notes in Computer Science, vol 5467. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01020-0_31

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  • DOI: https://doi.org/10.1007/978-3-642-01020-0_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01019-4

  • Online ISBN: 978-3-642-01020-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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