funFEM: an R package for functional data clustering

Bouveyron, Charles; Jacques, Julien

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Communication dans un congrès sans actes

Permalink :

http://hdl.handle.net/20.500.12210/29263

Title :

funFEM: an R package for functional data clustering

Author(s) :

Bouveyron, Charles [Auteur]
Jacques, Julien [Auteur]

Conference title :

Quatrième Rencontres R

City :

Grenoble

Country :

France

Start date of the conference :

2015

HAL domain(s) :

Mathématiques [math]/Statistiques [math.ST]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Collections :

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Submission date :

2020-06-08T14:10:42Z
2020-06-09T08:47:29Z

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2	20.500.12210/29263*	2020-06-09T08:46:36Z
1	20.500.12210/29263.1	2020-06-08T14:10:42Z

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funFEM: an R package for functional data ...

BibTeX

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RIS