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A model for spatial multicriteria hierarchical clustering

Author

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  • Karim Lidouh
  • Yves De Smet

Abstract

Research on the problem of multicriteria territory partitioning is at its begin. This is mainly due to the fact that it involves tools from fields that are to this day still young. To answer this shortage, we propose an adaptation of a multicriteria clustering method that takes spatial constraints into account. Two variants are described and tested on an illustrative case. This example deals with the partitioning of the Walloon region in Belgium into clusters with a similar level of well-being as perceived by its inhabitants.

Suggested Citation

  • Karim Lidouh & Yves De Smet, 2016. "A model for spatial multicriteria hierarchical clustering," International Journal of Multicriteria Decision Making, Inderscience Enterprises Ltd, vol. 6(1), pages 1-13.
    • Handle: RePEc:ids:ijmcdm:v:6:y:2016:i:1:p:1-13
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    Cited by:

    1. Ishizaka, Alessio & Lokman, Banu & Tasiou, Menelaos, 2021. "A Stochastic Multi-criteria divisive hierarchical clustering algorithm," Omega, Elsevier, vol. 103(C).

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