Clustering multivariate functional data
Document type :
Communication dans un congrès avec actes
Permalink :
Title :
Clustering multivariate functional data
Author(s) :
Conference title :
COMPSTAT 2012
City :
Limassol
Country :
Chypre
Start date of the conference :
2012
Book title :
Proceedings of the 20th International Conference on Computational Statistics
Publication date :
2012
HAL domain(s) :
Mathématiques [math]/Statistiques [math.ST]
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Administrative institution(s) :
CNRS
Université de Lille
Université de Lille
Submission date :
2020-06-08T14:11:00Z
2020-06-09T07:21:03Z
2020-06-09T07:21:03Z
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