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

DOI10.1007/s00180-018-0821-zzbMath1417.62175OpenAlexW2810957222MaRDI QIDQ1729355

Volodymyr Melnykov, Xuwen Zhu

Publication date: 27 February 2019

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-018-0821-z

zbMATH Keywords

cluster analysisskewnessexponential transformationCEM algorithm

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

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Uses Software

• UCI-ml
• MixSim
• clValid
• PMTK
• ManlyMix
• clusfind

Cites Work

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• A classification EM algorithm for clustering and two stochastic versions
• Finding Groups in Data
• Model-Based Gaussian and Non-Gaussian Clustering
• Empirical Bayes Analysis of a Microarray Experiment
• Finite mixture models

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