A mixture model for skewed mixed-type data

Eman M.S. Alamer, Michael P.B. Gallaugher and Paul D. McNicholas

Statistics & Probability Letters, 2025, vol. 226, issue C

Abstract: Many approaches exist for clustering categorical or continuous data. However, there are few options for mixed-type data, especially when the clusters exhibit skewness and/or heavy tails in the continuous variables. A model-based clustering approach is proposed to help address this gap.

Keywords: Classification; Clustering; Mixture model; Mixed type data (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1016/j.spl.2025.110507

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