Cluster-weighted ...-factor analyzers for robust model-based clustering and dimension reduction

Cluster-weighted models represent a convenient approach for model-based clustering, especially when the covariates contribute to defining the cluster-structure of the data. However, applicability may be limited when the number of covariates is high and performance may be affected by noise and outlie...

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Veröffentlicht in:	Statistical methods & applications Jg. 24; H. 4; S. 623 - 649
Hauptverfasser:	Subedi, Sanjeena, Punzo, Antonio, Ingrassia, Salvatore, Mcnicholas, Paul D
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Heidelberg Springer Nature B.V 01.11.2015
Schlagworte:	Algorithms Analyzers Clustering Mathematical models Maximization Maximum likelihood estimation Noise Normal distribution Texts
ISSN:	1618-2510, 1613-981X
Online-Zugang:	Volltext
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