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Extension of the mixture of factor analyzers model to incorporate the multivariate t-distribution., , and . Comput. Stat. Data Anal., 51 (11): 5327-5338 (2007)Top-10 Data Mining Case Studies., , , , , , , , , and 4 other author(s). Int. J. Inf. Technol. Decis. Mak., 11 (2): 389-400 (2012)A simple implementation of a normal mixture approach to differential gene expression in multiclass microarrays., , and . Bioinform., 22 (13): 1608-1615 (2006)Extending mixtures of factor models using the restricted multivariate skew-normal distribution., , and . J. Multivar. Anal., (2016)Whole-volume clustering of time series data from zebrafish brain calcium images via mixture modeling., , , , , , , and . Stat. Anal. Data Min., 11 (1): 5-16 (2018)Finite Mixture Models, and . Wiley Series in Probability and Statistics Wiley, (2000)MIXFIT: an algorithm for the automatic fitting and testing of normal mixture models., and . ICPR, page 553-557. IEEE Computer Society, (1998)An Enduring Interest in Classification: Supervised and Unsupervised.. Journeys to Data Mining, Springer, (2012)Further results on discrimination with autocorrelated observations., and . Pattern Recognit., 21 (1): 69-72 (1988)On the Simultaneous Use of Clinical and Microarray Expression Data in the Cluster Analysis of Tissue Samples., , , , and . APBC, volume 29 of CRPIT, page 167-171. Australian Computer Society, (2004)