MatTransMix: an R package for matrix model-based clustering and parsimonious mixture modeling

DOI10.1007/s00357-021-09401-9OpenAlexW3200922530MaRDI QIDQ2129308

Shuchismita Sarkar, Xuwen Zhu, Volodymyr Melnykov

Publication date: 22 April 2022

Published in: Journal of Classification (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00357-021-09401-9

zbMATH Keywords

parsimonious modelsfinite mixture modelspower transformationmodel-based cluster analysismatrix-valued data

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items

CPclus: Candecomp/Parafac clustering model for three-way data ⋮ Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions ⋮ MatTransMix

Uses Software

• R

Cites Work

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