TRAITEMENTS DE DONNEES QUALITATIVES PAR DES ALGORITHMES FONDES SUR L'ALGORITHME DE KOHONEN

摘要: It is well known that the SOM algorithm achieves a clustering of data which can be interpreted as an extension Principal Component Analysis, because its topologypreserving property. But only process real-valued data. In previous papers, we have proposed several methods based on to analyze categorical data, case in survey this paper, present these unified manner. The first one (Kohonen Multiple Correspondence KMCA) deals with modalities, while two others Analysis individuals, KMCA_ind, Kohonen DISJonctive table, KDISJ) take into account and modalities simultaneously.