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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Bibliographic Details

Published in:	Statistical methods & applications Vol. 24; no. 4; pp. 623 - 649
Main Authors:	Subedi, Sanjeena, Punzo, Antonio, Ingrassia, Salvatore, Mcnicholas, Paul D
Format:	Journal Article
Language:	English
Published:	Heidelberg Springer Nature B.V 01.11.2015
Subjects:	Algorithms Analyzers Clustering Mathematical models Maximization Maximum likelihood estimation Noise Normal distribution Texts
ISSN:	1618-2510, 1613-981X
Online Access:	Get full text
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