Title :

Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library

Author(s) :

Lebret, Rémi [Auteur]
Iovleff, Serge [Auteur]
Laboratoire Paul Painlevé - UMR 8524
Laboratoire Paul Painlevé - UMR 8524 [LPP]
Langrognet, Florent [Auteur]
Biernacki, Christophe [Auteur]
Celeux, Gilles [Auteur]
Govaert, Gérard [Auteur]

Journal title :

Journal of Statistical Software

Volume number :

67

Pages :

241-270

Publisher :

University of California, Los Angeles

Publication date :

2015

ISSN :

1548-7660

Keyword(s) :

R Rmixmod
Model-based clustering
Discriminant analysis
Visualization
Mixture models
R Rmixmod

HAL domain(s) :

Mathématiques [math]/Statistiques [math.ST]

English abstract : [en]

Mixmod is a well-established software package for fitting a mixture model of multivariate Gaussian or multinomial probability distribution functions to a given data set with either a clustering, a density estimation or a ...
Show more >Mixmod is a well-established software package for fitting a mixture model of multivariate Gaussian or multinomial probability distribution functions to a given data set with either a clustering, a density estimation or a discriminant analysis purpose. The Rmixmod S4 package provides a bridge between the C++ core library of Mixmod (mixmodLib) and the R statistical computing environment. In this article, we give an overview of the model-based clustering and classification methods, and we show how the R package Rmixmod can be used for clustering and discriminant analysis.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

CNRS
Université de Lille

Collections :

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

Submission date :

2020-06-08T14:11:42Z
2020-06-10T12:12:39Z