Cartes auto-organis\'ees pour l'analyse exploratoire de donn\'ees et la visualisation
Abstract
This paper shows how to use the Kohonen algorithm to represent multidimensional data, by exploiting the self-organizing property. It is possible to get such maps as well for quantitative variables as for qualitative ones, or for a mixing of both. The contents of the paper come from various works by SAMOS-MATISSE members, in particular by E. de Bodt, B. Girard, P. Letr\'emy, S. Ibbou, P. Rousset. Most of the examples have been studied with the computation routines written by Patrick Letr\'emy, with the language IML-SAS, which are available on the WEB page http://samos.univ-paris1.fr.
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