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Cartes auto-organisées pour l'analyse exploratoire de données et la visualisation

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. Letrémy, S. Ibbou, P. Rousset. Most of the examples have been studied with the computation routines written by Patrick Letrémy, with the language IML-SAS, which are available on the WEB page http://samos.univ-paris1.fr.

preprint2006arXivOpen access
Marie CottrellSmaÏl IbbouPatrick LetrémyPatrick Rousset
Neural and Evolutionary Computingmath.STnlin.AOStatistics Theory
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Open access4 authors4 topics
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Citations: 0Reviews: 0Saves: 0Code: not linkedDataset: not linkedInstitutions: 0

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Marie CottrellSmaÏl IbbouPatrick LetrémyPatrick Rousset

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