Enhancing the selection of a model-based clustering with external categorical variables

Author:

Baudry Jean-Patrick,Cardoso Margarida,Celeux Gilles,Amorim Maria José,Ferreira Ana Sousa

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Statistics and Probability

Reference17 articles.

1. Bache K, Lichman M (2013) UCI machine learning repository http://archive.ics.uci.edu/ml . Irvine, CA: University of California, School of Information and Computer Sciences

2. Baudry J-P (2009) Model selection for clustering. Choosing the number of classes. PhD thesis, Univ. Paris-Sud. http://tel.archives-ouvertes.fr/tel-00461550/fr/

3. Baudry J-P (2012) Estimation and model selection for model-based clustering with the conditional classification likelihood. Math Stat Theory. arXIV:1205.4123 (preprint)

4. Biernacki C, Celeux G, Govaert G (2000) Assessing a mixture model for clustering with the integrated completed likelihood. IEEE Trans PAMI 22:719–725

5. Biernacki C, Celeux G, Govaert G, Langrognet F (2006) Model-based cluster and discriminant analysis with the mixmod software. Comput Stat Data Anal 51(2):587–600

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