A Permutation Based Procedure for Classification Assessment

DOI10.1080/03610926.2011.608475zbMath1319.62126OpenAlexW2065695593MaRDI QIDQ3167850

Michele Costa, Luca De Angelis

Publication date: 29 October 2012

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

Full work available at URL: https://doi.org/10.1080/03610926.2011.608475

zbMATH Keywords

\(k\)-means clusteringlatent class analysisclassification methodspermutation procedureclassification validation

Mathematics Subject Classification ID

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

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Latent class models for classification
• Permutation, parametric and bootstrap tests of hypotheses.
• MCLUST: Software for model-based cluster analysis
• Model-Based Gaussian and Non-Gaussian Clustering
• On clustering validation techniques

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