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Conference Papers Year : 2007

Clustering a medieval social network by SOM using a kernel based distance measure

Abstract

In order to explore the social organization of a medieval peasant community before the Hundred Years' War, we propose the use of an adaptation of the well-known Kohonen Self Organizing Map to dissimilarity data. In this paper, the algorithm is used with a distance based on a kernel which allows the choice of a smoothing parameter to control the importance of local or global proximities.
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Dates and versions

hal-00145117 , version 1 (07-05-2007)

Identifiers

  • HAL Id : hal-00145117 , version 1

Cite

Nathalie Villa, Romain Boulet. Clustering a medieval social network by SOM using a kernel based distance measure. European Symposium on Artificial Neural Networks, Apr 2007, Bruges, Belgium. pp.31-36. ⟨hal-00145117⟩
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