R. Agrawal, T. Imielinski, and A. Swani, Mining Association rules between sets of items in large databases, Proceedings of the ACM-SIGMOD Conference on Management of Data, 1993.

R. Agrawal and R. Srikant, Fast Algorithms for Mining Association Rules, Proceedings of the 20 th Int'l Conference on Very Large Databases (VLDB), 1994.

G. Hébrail and Y. Lechevallier, Data mining et analyse des données, Govaert G. Analyse des données, pp.323-355, 2003.

P. Tan, V. Kumar, and J. Srivastava, Selecting the Right Interestingness Measure for Association Rules, Proceeding of the 8 th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2002.

S. Lallich and O. Taytaud, Evaluation et validation des règles d'association, Mesures de qualité pour la fouille des données, 2004.

E. Vigneau and E. M. Qannari, Clustering of variables around latent component -application to sensory analysis, Communications in Statistics , Simulation and Computation, vol.32, issue.4, pp.1131-1150, 2003.

J. P. Nakache and J. Confais, Approche pragmatique de la classification, 2005.

E. M. Qannari and E. Vigneau, Une nouvelle distance entre variables. Application en classification, pp.21-32, 1998.

H. Bacelar-nicolau and F. C. Nicolau, Teaching and learning hierachical clustering probabilistic models for categorical data, Proceedings of the 54 th ISI session, 2003.

S. A. Lorga-da, H. Bacelar-nicolau, and G. Saporta, Missing Data in Hierarchical Classification of Variables, a simulation study, Proceedings IFCS 2002. 8 th Conference of International Federation of Classification Societies, 2002.
URL : https://hal.archives-ouvertes.fr/hal-01124802

G. Youness and G. Saporta, Some Measures of Agreement Between Close Partitions -Student, vol.5, issue.1, pp.1-12, 2004.