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A predictive deviance criterion for selecting a generative model in semi-supervised classification., , , и . Comput. Stat. Data Anal., (2013)Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre., и . DMAS, том A-1 из RNTI, стр. 200-212. Cépaduès-Éditions, (2005)Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering., , и . J. Classif., 38 (1): 129-157 (2021)Interpretable domain adaptation using unsupervised feature selection on pre-trained source models., , , и . Neurocomputing, (2022)Parameter Setting for Evolutionary Latent Class Clustering., , , , и . ISICA, том 4683 из Lecture Notes in Computer Science, стр. 472-484. Springer, (2007)Initializing EM using the properties of its trajectories in Gaussian mixtures.. Stat. Comput., 14 (3): 267-279 (2004)Pourquoi les modèles de mélange pour la classification ?. Monde des Util. Anal. Données, (2009)Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models., , и . Comput. Stat. Data Anal., 41 (3-4): 561-575 (2003)Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data., , и . CoRR, (2018)A generative model for rank data based on insertion sort algorithm., и . Comput. Stat. Data Anal., (2013)