Parsimonious mixtures of multivariate contaminated normal distributions

A mixture of multivariate contaminated normal distributions is developed for model‐based clustering. In addition to the parameters of the classical normal mixture, our contaminated mixture has, for each cluster, a parameter controlling the proportion of mild outliers and one specifying the degree of...

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Veröffentlicht in:	Biometrical journal Jg. 58; H. 6; S. 1506 - 1537
Hauptverfasser:	Punzo, Antonio, McNicholas, Paul D.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Germany Blackwell Publishing Ltd 01.11.2016 Wiley - VCH Verlag GmbH & Co. KGaA
Schlagworte:	Algorithms Cluster Analysis Contaminated normal distribution Contamination EM algorithm Mixture models Model-based clustering Models, Statistical Normal Distribution Contaminated normal distribution EM algorithm Contamination Mixture models Model-based clustering
ISSN:	0323-3847, 1521-4036, 1521-4036
Online-Zugang:	Volltext
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