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...

Full description

Saved in:

Bibliographic Details
Published in:	Computational statistics & data analysis Vol. 71; pp. 92 - 106
Main Authors:	Jacques, Julien, Preda, Cristian
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.03.2014 Elsevier
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!