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Exploring the number of groups in robust model-based clustering., , , and . Stat. Comput., 21 (4): 585-599 (2011)Eigenvalues and constraints in mixture modeling: geometric and computational issues., , , , and . Adv. Data Anal. Classif., 12 (2): 203-233 (2018)Comments on: model-based clustering and classification with non-normal mixture distributions., , and . Stat. Methods Appl., 22 (4): 459-461 (2013)Avoiding spurious local maximizers in mixture modeling., , , and . Stat. Comput., 25 (3): 619-633 (2015)The joint role of trimming and constraints in robust estimation for mixtures of Gaussian factor analyzers., , , , and . Comput. Stat. Data Anal., (2016)The influence function of the TCLUST robust clustering procedure., , , and . Adv. Data Anal. Classif., 6 (2): 107-130 (2012)Robust fuzzy clustering of time series based on B-splines., , , , and . Int. J. Approx. Reason., (2021)A reweighting approach to robust clustering., , , and . Stat. Comput., 28 (2): 477-493 (2018)Robust clustering tools based on optimal transportation., , , and . Stat. Comput., 29 (1): 139-160 (2019)Robust Clustering for Time Series Using Spectral Densities and Functional Data Analysis., , , and . IWANN (2), volume 10306 of Lecture Notes in Computer Science, page 142-153. Springer, (2017)