Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering
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We compare two major approaches to variable selection in clustering: model selection and regularization. Based on previous results, we select the method of Maugis et al. (2009b), which modified the method of Raftery and Dean (2006), as a current state of the a... ...
