funFEM: an R package for functional data ...
Type de document :
Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes
URL permanente :
Titre :
funFEM: an R package for functional data clustering
Auteur(s) :
Titre de la manifestation scientifique :
Quatrième Rencontres R
Ville :
Grenoble
Pays :
France
Date de début de la manifestation scientifique :
2015
Discipline(s) HAL :
Mathématiques [math]/Statistiques [math.ST]
Résumé en anglais : [en]
A new model-based clustering algorithm for times series (or more generally functional data), called FunFEM, has been proposed in Bouveyron et al. (2015). It is based on a functional mixture model which allows the clustering ...
Lire la suite >A new model-based clustering algorithm for times series (or more generally functional data), called FunFEM, has been proposed in Bouveyron et al. (2015). It is based on a functional mixture model which allows the clustering of the data in a discriminative functional subspace. This model presents the advantage to be parsimonious and to allow the visualization of the clustered systems. This paper presents the funFEM package for R which implements this new clustering algorithm.Lire moins >
Lire la suite >A new model-based clustering algorithm for times series (or more generally functional data), called FunFEM, has been proposed in Bouveyron et al. (2015). It is based on a functional mixture model which allows the clustering of the data in a discriminative functional subspace. This model presents the advantage to be parsimonious and to allow the visualization of the clustered systems. This paper presents the funFEM package for R which implements this new clustering algorithm.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Date de dépôt :
2020-06-08T14:10:42Z
2020-06-09T08:47:29Z
2020-06-09T08:47:29Z
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