mclust Version 4 for R : Normal Mixture Modeling for Model-Based Clustering , Classification , and Density Estimation
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[1] Adrian E. Raftery,et al. MCLUST: Software for Model-Based Cluster Analysis , 1999 .
[2] C. Fraley,et al. Nonparametric Maximum Likelihood Estimation of Features in Spatial Point Processes Using Voronoï Tessellation , 1997 .
[3] A. Raftery,et al. Detecting features in spatial point processes with clutter via model-based clustering , 1998 .
[4] Adrian E. Raftery,et al. Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering , 2007, J. Classif..
[5] Guohua Pan,et al. Local Regression and Likelihood , 1999, Technometrics.
[6] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[7] J. H. Ward. Hierarchical Grouping to Optimize an Objective Function , 1963 .
[8] Adrian E. Raftery,et al. Model-Based Clustering for Image Segmentation and Large Datasets via Sampling , 2004, J. Classif..
[9] Luca Scrucca,et al. Dimension reduction for model-based clustering , 2015, Stat. Comput..
[10] G. Celeux,et al. Regularized Gaussian Discriminant Analysis through Eigenvalue Decomposition , 1996 .
[11] Adrian E. Raftery,et al. Linear flaw detection in woven textiles using model-based clustering , 1997, Pattern Recognit. Lett..
[12] A. Raftery,et al. Model-based Gaussian and non-Gaussian clustering , 1993 .
[13] Robert H. Halstead,et al. Matrix Computations , 2011, Encyclopedia of Parallel Computing.
[14] A. Scott,et al. Clustering methods based on likelihood ratio criteria. , 1971 .
[15] Adrian E. Raftery,et al. How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..
[16] Chris Fraley,et al. Algorithms for Model-Based Gaussian Hierarchical Clustering , 1998, SIAM J. Sci. Comput..
[17] Gérard Govaert,et al. Gaussian parsimonious clustering models , 1995, Pattern Recognit..
[18] Adrian E. Raftery,et al. Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .
[19] A. Raftery,et al. Nearest-Neighbor Clutter Removal for Estimating Features in Spatial Point Processes , 1998 .
[20] Adrian E. Raftery,et al. Incremental Model-Based Clustering for Large Datasets With Small Clusters , 2005 .
[21] P. Deb. Finite Mixture Models , 2008 .
[22] N. L. Johnson,et al. Multivariate Analysis , 1958, Nature.
[23] C. Fraley,et al. Nonparametric Maximum Likelihood Estimation of Features in Spatial Point Processes Using Voronoï Tessellation , 1997 .
[24] H. P. Friedman,et al. On Some Invariant Criteria for Grouping Data , 1967 .
[25] Gilles Celeux,et al. Combining Mixture Components for Clustering , 2010, Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America.
[26] Nicole A. Lazar,et al. Statistical Analysis With Missing Data , 2003, Technometrics.
[27] Adrian E. Raftery,et al. Fitting straight lines to point patterns , 1984, Pattern Recognit..
[28] Adrian E. Raftery,et al. Model-based Methods of Classification: Using the mclust Software in Chemometrics , 2007 .