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1 SAMOS - Statistique Appliquée et MOdélisation Stochastique 2 CES - Centre d-économie de la Sorbonne 3 RDD GDF - Research and Development Division Gaz de France

Abstract : We propose an easy-to-use methodology to allocate one of the groups which have been previously built from a complete learning data base, to new individuals. The learning data base contains continuous and categorical variables for each individual. The groups clusters are built by using only the continuous variables and described with the help of the categorical ones. For the new individuals, only the categorical variables are available, and it is necessary to define a model which computes the probabilities to belong to each of the clusters, by using only the categorical variables. Then this model provides a decision rule to assign the new individuals and gives an efficient tool to decision-makers. This tool is shown to be very efficient for customers allocation in consumer clusters for marketing purposes, for example.

Keywords : Kohonen Maps Profiles Logistic regression non-ordered Polychotomous Logit Model

Autor: Patrick Letrémy - Marie Cottrell - Eric Esposito - Valérie Laffite - Sally Showk -



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