Block clustering of contingency table and mixture model

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3646 LNCS, Issue , 2005, Pages 249-259

  Nadif, Mohamed ^a   Govaert, Gérard ^b  

^a UNIVERSITÉ DE LORRAINE   (France)

^b UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); CONVERGENCE OF NUMERICAL METHODS; DATA MINING; DATA REDUCTION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION;

BLOCK CLUSTERING; CONTINGENCY TABLE; POISSON BLOCK MIXTURE MODEL; WEB-LOG;

DATABASE SYSTEMS;

EID: 33745200319     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11552253_23     Document Type: Conference Paper

References (9)

1. Celeux, G., Govaert, G.: A Classification EM Algorithm for Clustering and two Stochastic Versions. Computational Statistics and Data Analysis, 14 (1992) 315-332
2. Cheng, Y., Church, G.: Biclustering of expression data. In: Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology (ISMB) (2000) 93-103
3. Dhillon, I.: Co-clustering documents and words using bipartite spectral graph partioning. In: ACM SIGKDD International Conference, San Francisco, USA (2001) 269-274
4. Dhillon, I., Mallela, S., Modha, D.S.: Information-Theoretic Co-clustering. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (2003) 89-98
5. Govaert, G.: Classification de tableaux binaires. In Data analysis and informatics 3, North-Holland, Amsterdam (1984) 223-236
6. Govaert, G., Nadif, M.: Clustering with block mixture models. Pattern Recognition 36 (2003) 463-473
7. Govaert, G., Nadif, M.: An EM algorithm for the block mixture model. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 643-647
8. McLachlan, G.J., Peel, D.: Finite Mixture Models. Wiley, New York (2000)
9. Symons, M.J.: Clustering criteria and multivariate normal mixtures. Biometrics 37 (1981) 35-43