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Conference papers

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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Contributor : Nathalie Vialaneix Connect in order to contact the contributor
Submitted on : Monday, May 7, 2007 - 6:56:27 PM
Last modification on : Monday, April 4, 2022 - 3:24:11 PM
Long-term archiving on: : Wednesday, April 7, 2010 - 2:15:09 AM

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  • HAL Id : hal-00145117, version 1

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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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