Mixture models for cluster analysis: from model-based inference to bayesian non-parametrics

[1]  Hervé Glotin,et al.  Subunit definition and analysis for humpback whale call classification , 2010 .

[2]  Yee Whye Teh,et al.  Beam sampling for the infinite hidden Markov model , 2008, ICML '08.

[3]  A. Raftery,et al.  Model-based Gaussian and non-Gaussian clustering , 1993 .

[4]  Geoffrey J. McLachlan,et al.  Mixture models : inference and applications to clustering , 1989 .

[5]  Radford M. Neal Probabilistic Inference Using Markov Chain Monte Carlo Methods , 2011 .

[6]  Adrian E. Raftery,et al.  Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering , 2007, J. Classif..

[7]  C. Antoniak Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems , 1974 .

[8]  Michael I. Jordan,et al.  Hierarchical Dirichlet Processes , 2006 .

[9]  P. Saama MAXIMUM LIKELIHOOD AND BAYESIAN METHODS FOR MIXTURES OF NORMAL DISTRIBUTIONS , 1997 .

[10]  Adrian E. Raftery,et al.  Inference in model-based cluster analysis , 1997, Stat. Comput..

[11]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[12]  Carl E. Rasmussen,et al.  The Infinite Gaussian Mixture Model , 1999, NIPS.

[13]  Michael I. Jordan,et al.  An HDP-HMM for systems with state persistence , 2008, ICML '08.

[14]  Halima Bensmail,et al.  Model-based Clustering with Noise: Bayesian Inference and Estimation , 2003, J. Classif..

[15]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[16]  Gérard Govaert,et al.  Gaussian parsimonious clustering models , 1995, Pattern Recognit..

[17]  Volker Tresp,et al.  Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates , 1998, IEEE Trans. Neural Networks.

[18]  Michael J. Black,et al.  A nonparametric Bayesian alternative to spike sorting , 2008, Journal of Neuroscience Methods.

[19]  Adrian E. Raftery,et al.  Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .

[20]  G. Celeux,et al.  A Classification EM algorithm for clustering and two stochastic versions , 1992 .

[21]  M. Stephens Bayesian analysis of mixture models with an unknown number of components- an alternative to reversible jump methods , 2000 .

[22]  P. Deb Finite Mixture Models , 2008 .

[23]  P. Green,et al.  Corrigendum: On Bayesian analysis of mixtures with an unknown number of components , 1997 .