The MBC Procedure
References
Banfield, J. D., and Raftery, A. E. (1993). “Model-Based Gaussian and Non-Gaussian Clustering.” Biometrics 49:803–821.
Böhning, D., Dietz, E., Schaub, R., Schlattmann, P., and Lindsay, B. G. (1994). “The Distribution of the Likelihood Ratio for Mixtures of Densities from the One-Parameter Exponential Family.” Annals of the Institute of Statistical Mathematics 46:373–388.
Celeux, G., and Govaert, G. (1995). “Gaussian Parsimonious Clustering Models.” Pattern Recognition 28:781–793.
Cook, R. D., and Weisberg, S. (1982). Residuals and Influence in Regression. New York: Chapman & Hall.
Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977). “Maximum Likelihood from Incomplete Data via the EM Algorithm.” Journal of the Royal Statistical Society, Series B 39:1–38.
Ghahramani, Z., and Hinton, G. E. (1997). The EM Algorithm for Mixtures of Factor Analyzers. Technical Report CRG-TR-96-1, University of Toronto.
McLachlan, G. J., and Krishnan, T. (1997). The EM Algorithm and Extensions. New York: John Wiley & Sons.
McNicholas, P. D. (2017). Mixture Model-Based Classification. Boca Raton, FL: CRC Press.
McNicholas, P. D., and Murphy, T. B. (2008). “Parsimonious Gaussian Mixture Models.” Statistics and Computing 18:285–296.
Meng, X.-L., and Van Dyk, D. (1997). “The EM Algorithm—an Old Folk-Song Sung to a Fast New Tune.” Journal of the Royal Statistical Society, Series B 59:511–567.
Puranen, J. (1917). “Fish Catch data set (1917).” Journal of Statistics Education Data Archive. Accessed October 29, 2019. https://www.amstat.org/publications/jse/datasets/fishcatch.txt.
Yung, Y.-F. (1997). “Finite Mixtures in Confirmatory Factor-Analysis Models.” Psychometrika 62:297–330.