Classification et co-classification (clustering and co-clustering)
C. Robardet, C. Rigotti. Etude de méthodes de recherche locale pour la construction de bi-partitions. Extraction de Connaissances et Apprentissage ECA 16(6):705-728, 2003.
R. G. Pensa. Algorithmes de clustering et de caractérisation de clusters - application à des données d'expression de gènes. Mémoire de Projet de Fins d'Etudes du Politecnico di Torino. Octobre 2004.
C. Robardet, R. G. Pensa, J. Besson, J-F. Boulicaut. Using classification and visualization on pattern databases for gene expression data analysis. Proceedings of the International Workshop on Pattern Representation and Management PaRMa'04 co-located with EDBT 2004, Heraclion - Crete, Greece, March 2004. CEUR Workshop Proceedings Vol. 96, pp. 107-118.
R. G. Pensa, J-F. Boulicaut. From local pattern mining to relevant bi-cluster characterization. Proceedings of the 6th International Symposium on Intelligent Data Analysis IDA'05, Madrid, Spain, September 2005. Springer LNCS 3646, pp. 293-304.
R. G. Pensa, C. Robardet, J-F. Boulicaut. A bi-clustering framework for categorical data. Proceedings of the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases PKDD'05, Porto (P), October 2005, Springer LNAI 3721, pp. 643-650.
R. G. Pensa, C. Robardet, J-F. Boulicaut. Towards constrained co-clustering in ordered 0/1 data sets. Foundations of Intelligent Systems - Proceedings of the 16th International Symposium on Methodologies for Intelligent Systems ISMIS'06, Bari (I), September 2006. Springer LNAI 4203, pp. 425-434.
R. Pensa, C. Robardet, J-F. Boulicaut. Supporting bi-cluster interpretation in 0/1 data by means of local patterns. Intelligent Data Analysis IDA 10(5):457-472, 2006.
R. G. Pensa, C. Robardet, J-F. Boulicaut. Co-classification sous contraintes. Actes de la conférence francophone d'apprentissage automatique CAp 2006, Trégastel (F), mai 2006, Presses Universitaires de Grenoble, pp. 155-170.
R. G. Pensa. Un cadre générique pour la co-classification sous contraintes : application à l'analyse du transcriptome. Thèse de doctorat de l'INSA de Lyon présentée le 20 novembre 2006.
R. G. Pensa, J-F. Boulicaut. Co-classification sous contraintes par la somme des résidus quadratiques. Actes des 8ème Journées Francophones Extraction et Gestion de Connaissances EGC'08, Sophia-Antipolis (F), février 2008, Cepadues Editions RNTI-E-11, pp. 655-666.
R. G. Pensa, C. Robardet, J-F. Boulicaut. Constraint-driven Co-Clustering of 0/1 Data: In: Constrained Clustering: Advances in Algorithms, Theory and Applications, S. Basu et al. (Eds), Chapman & Hall/CRC Press, Data Mining and Knowledge Discovery Series, pp. 123-148, 2008.
R. G. Pensa, J-F. Boulicaut. Constrained co-clustering of gene expression data. Proceedings SIAM International Conference on Data Mining SDM'08, Atlanta, USA, April 2008. pp. 25-36.
R. G. Pensa, J-F. Boulicaut. Numerical Data Co-clustering via Sum-Squared Residue Minimization and User-defined Constraint Satisfaction (extended abstract). Proc. 16th Italian Symp. on Advanced Database Systems SEBD 2008, Mondello (PA), Italy, June 22-25, 2008. pp. 279-286.
R. G. Pensa, J-F. Boulicaut, F. Cordero, M. Atzori. Co-clustering Numerical Data under User-defined Constraints. Statistical Analysis and Data Mining journal, 3(1)38-55, 2010.