A simple model‐based approach to variable selection in classification and clustering

DOI10.1002/cjs.11241zbMath1328.62388OpenAlexW2156600721MaRDI QIDQ5256376

Vahid Partovi Nia, Anthony C. Davison

Publication date: 22 June 2015

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://infoscience.epfl.ch/record/212575/files/PartoviNiaDavisonFinal.pdf

zbMATH Keywords

classificationclusteringhigh-dimensional datavariable selectionmixture modelLaplace distributionhierarchical partitioning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15)

Related Items

Variable selection methods for model-based clustering, Agglomerative joint clustering of metabolic data with spike at zero: A Bayesian perspective

Uses Software

• ElemStatLearn
• HDclassif
• bclust

Cites Work

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