Block-Wise Variable Selection for Clustering Via Latent States of Mixture Models

DOI10.1080/10618600.2021.1982724OpenAlexW3200385069MaRDI QIDQ5083361

Beomseok Seo, Lin Lin, Jia Li

Publication date: 22 June 2022

Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10618600.2021.1982724

zbMATH Keywords

unsupervised learningfeature selectionsemi-clustersvariable blocks

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• Silhouettes
• clustvarsel
• dynamicTreeCut
• VarSelLCM
• sparcl
• wskm
• vscc

Cites Work

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• 10.1162/153244303322753616
• Optimal transport, mean partition, and uncertainty assessment in cluster analysis
• A Framework for Feature Selection in Clustering
• Variable Selection for Model-Based Clustering

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