Clustering multivariate functional data
Type de document :
Communication dans un congrès avec actes
URL permanente :
Titre :
Clustering multivariate functional data
Auteur(s) :
Titre de la manifestation scientifique :
COMPSTAT 2012
Ville :
Limassol
Pays :
Chypre
Date de début de la manifestation scientifique :
2012
Titre de l’ouvrage :
Proceedings of the 20th International Conference on Computational Statistics
Date de publication :
2012
Discipline(s) HAL :
Mathématiques [math]/Statistiques [math.ST]
Résumé en anglais : [en]
Model-based clustering is considered for Gaussian multivariate functional data as an extension of the univariate functional setting. Principal components analysis is introduced and used to define an approximation of the ...
Lire la suite >Model-based clustering is considered for Gaussian multivariate functional data as an extension of the univariate functional setting. Principal components analysis is introduced and used to define an approximation of the notion of density for multivariate functional data. An EM like algorithm is proposed to estimate the parameters of the reduced model. Application on climatology data illustrates the method.Lire moins >
Lire la suite >Model-based clustering is considered for Gaussian multivariate functional data as an extension of the univariate functional setting. Principal components analysis is introduced and used to define an approximation of the notion of density for multivariate functional data. An EM like algorithm is proposed to estimate the parameters of the reduced model. Application on climatology data illustrates the method.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
CNRS
Université de Lille
Université de Lille
Date de dépôt :
2020-06-08T14:11:00Z
2020-06-09T07:21:03Z
2020-06-09T07:21:03Z
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