CLUSTERING VIA NORMAL MIXTURE MODELSG
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[1] Geoffrey J. McLachlan,et al. On a Resampling Approach to Choosing the Number of Components in Normal Mixture Models , 2007 .
[2] Adrian E. Raftery,et al. Inference in model-based cluster analysis , 1997, Stat. Comput..
[3] G. Celeux,et al. Regularized Gaussian Discriminant Analysis through Eigenvalue Decomposition , 1996 .
[4] G. Celeux,et al. An entropy criterion for assessing the number of clusters in a mixture model , 1996 .
[5] Regularized Gaussian Discriminant Analysisthrough Eigenvalue DecompositionHalima BensmailUniversit , 1996 .
[6] Gérard Govaert,et al. Gaussian parsimonious clustering models , 1995, Pattern Recognit..
[7] S. Klinke,et al. Exploratory Projection Pursuit , 1995 .
[8] Bernhard W. Flury,et al. Error rates in quadratic discrimination with constraints on the covariance matrices , 1994 .
[9] A. Raftery,et al. Model-based Gaussian and non-Gaussian clustering , 1993 .
[10] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[11] G. McLachlan. On Bootstrapping the Likelihood Ratio Test Statistic for the Number of Components in a Normal Mixture , 1987 .
[12] Susan R. Wilson. Sound and Exploratory Data Analysis , 1982 .
[13] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[14] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .