Advances in Self Organising Maps

Marie Cottrell (1, 2) , Michel Verleysen (3)

1 CES - Centre d'économie de la Sorbonne
2 SAMOS - Statistique Appliquée et MOdélisation Stochastique
3 DICE - MachineLearning Group - DICE

The Self-Organizing Map (SOM) with its related extensions is the most popular artificial neural algorithm for use in unsupervised learning, clustering, classification and data visualization. Over 5,000 publications have been reported in the open literature, and many commercial projects employ the SOM as a tool for solving hard real-world problems. Each two years, the “Workshop on Self-Organizing Maps” (WSOM) covers the new developments in the field. The WSOM series of conferences was initiated in 1997 by Prof. Teuvo Kohonen, and has been successfully organized in 1997 and 1999 by the Helsinki University of Technology, in 2001 by the University of Lincolnshire and Humberside, and in 2003 by the Kyushu Institute of Technology. The Université Paris I Panthéon Sorbonne (SAMOS-MATISSE research centre) organized WSOM 2005 in Paris on September 5-8, 2005.

Mots clés: Kohonen Maps; self-organizing algorithms

Domaines: Réseau de neurones [cs.NE]; Théorie [stat.TH]; Statistiques [math.ST]; Adaptation et Systèmes auto-organisés [nlin.AO]

Marie Cottrell, Michel Verleysen. Advances in Self Organising Maps. Neural Networks, 2006, 19 (6-7), pp.721-722. ⟨10.1016/j.neunet.2006.05.011⟩. ⟨hal-00113735⟩