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.

• Type: Conference
• Year: 2007
• Where: ESANN
• Authors: Nathalie Villa, Romain Boulet
• Keywords: ESANN 2007, Medieval Peasant Community, Neural Networks, Smoothing Parameter, Well-known Kohonen Self