Model-based clustering for multivariate functional data

The first model-based clustering algorithm for multivariate functional data is proposed. After introducing multivariate functional principal components analysis (MFPCA), a parametric mixture model, based on the assumption of normality of the principal component scores, is defined and estimated by an...

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Vydáno v:	Computational statistics & data analysis Ročník 71; s. 92 - 106
Hlavní autoři:	Jacques, Julien, Preda, Cristian
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.03.2014 Elsevier
Témata:	Algorithms data collection Density approximation EM-algorithm Mathematics Model-based clustering Multivariate functional data Multivariate functional principal component analysis principal component analysis Statistics Statistics Theory Multivariate functional principal component analysis Multivariate functional data Density approximation EM-algorithm Model-based clustering multivariate functional principal component analysis model-based clustering EM algorithm density approximation
ISSN:	0167-9473, 1872-7352
On-line přístup:	Získat plný text
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