Clustering through empirical likelihood ratio

DOI10.1016/J.CSDA.2012.12.011zbMath1349.62278OpenAlexW2023184692MaRDI QIDQ333730

Volodymyr Melnykov, Gang Shen

Publication date: 31 October 2016

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2012.12.011

zbMATH Keywords

clusteringadjusted rand index\textit{Iris} datasetempirical likelihood ratio

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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An extension of the \(K\)-means algorithm to clustering skewed data

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