A robust EM clustering approach: ROBEM

DOI10.1080/03610926.2020.1722840OpenAlexW3005073224MaRDI QIDQ5079083

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Publication date: 25 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2020.1722840

zbMATH Keywords

EMTCLUSTclustering analysistrimmed k-meansROBEMrobust cluster algorithmsspatial EM

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

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• Unnamed Item
• robustbase
• ROBPCA
• rrcov
• TCLUST

Cites Work

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• Robust fitting of mixtures using the trimmed likelihood estimator
• A fast algorithm for robust constrained clustering
• A robust EM clustering algorithm for Gaussian mixture models
• High breakdown mixture discriminant analysis
• A general trimming approach to robust cluster analysis
• Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator
• A robust method for cluster analysis
• A review of robust clustering methods
• Robust estimation in the normal mixture model
• Robustness Properties of k Means and Trimmed k Means
• Mixture Models, Robustness, and the Weighted Likelihood Methodology
• The evaluation of socio-economic development of development agency regions in Turkey using classical and robust principal component analyses

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