Advances in mixture modeling and model based clustering

Siddharth Gopal, Yiming Yang, Von Mises-Fisher Clustering Models international conference on machine learning. ,vol. 32, pp. 154- 162 ,(2014)

Cathy Maugis-Rabusseau, Sandra Pelletier, Marie-Laure Martin-Magniette, SelvarClustMV: Variable selection approach in model-based clustering allowing for missing values Journal de la Société Française de Statistique & revue de statistique appliquée. ,vol. 153, pp. 21- 36 ,(2012)

Volodymyr Melnykov, Semhar Michael, Igor Melnykov, Recent Developments in Model-Based Clustering with Applications Springer International Publishing. pp. 1- 39 ,(2015) , 10.1007/978-3-319-09259-1_1

Volodymyr Melnykov, Ranjan Maitra, CARP: Software for Fishing Out Good Clustering Algorithms Journal of Machine Learning Research. ,vol. 12, pp. 69- 73 ,(2011)

A. Azzalini, A. W. Bowman, A Look at Some Data on the Old Faithful Geyser Applied Statistics. ,vol. 39, pp. 357- 365 ,(1990) , 10.2307/2347385

T.M. Heskes, A. Ypma, Categorization of web pages and user clustering with mixtures of hidden Markov models knowledge discovery and data mining. pp. 31- 43 ,(2008)

E. W. Forgy, Cluster analysis of multivariate data : efficiency versus interpretability of classifications Biometrics. ,vol. 21, pp. 768- 769 ,(1965)

Finding Groups in Data John Wiley & Sons, Inc.. ,(1990) , 10.1002/9780470316801

Igor Cadez, David Heckerman, Christopher Meek, Padhraic Smyth, Steven White, Model-Based Clustering and Visualization of Navigation Patterns on a Web Site Data Mining and Knowledge Discovery. ,vol. 7, pp. 399- 424 ,(2003) , 10.1023/A:1024992613384

G. J. McLachlan, On Bootstrapping the Likelihood Ratio Test Stastistic for the Number of Components in a Normal Mixture Applied Statistics. ,vol. 36, pp. 318- 324 ,(1987) , 10.2307/2347790