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High-dimensional unsupervised classification via parsimonious contaminated mixtures.

, , and . Pattern Recognit., (2020)

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Graduation by Adaptive Discrete Beta Kernels., and . Classification and Data Mining, Springer, (2013)Checking Serial Independence of Residuals from a Nonlinear Model., and . GfKl, page 203-211. Springer, (2010)Two new matrix-variate distributions with application in model-based clustering., , and . Comput. Stat. Data Anal., (2020)Unconstrained representation of orthogonal matrices with application to common principal components., and . Comput. Stat., 36 (2): 1177-1195 (2021)Model-based clustering using a new multivariate skew distribution., , and . Adv. Data Anal. Classif., 18 (1): 61-83 (March 2024)Multivariate cluster weighted models using skewed distributions., , , and . Adv. Data Anal. Classif., 16 (1): 93-124 (2022)Dimension-wise scaled normal mixtures with application to finance and biometry., and . J. Multivar. Anal., (2022)On the Use of the Matrix-Variate Tail-Inflated Normal Distribution for Parsimonious Mixture Modeling., , and . SIS, 406, page 407-423. Springer, (2021)A Laplace-based model with flexible tail behavior., , , and . Comput. Stat. Data Anal., (April 2024)Local and Overall Deviance R-Squared Measures for Mixtures of Generalized Linear Models., , and . J. Classif., 40 (2): 233-266 (July 2023)