Work

Rmixmod: TheRPackage of the Model-Based Unsupervised, Supervised, and Semi-Supervised ClassificationMixmodLibrary

Year: 2015

Type: article

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

Source: Journal of Statistical Software

DOI: 10.18637/jss.v067.i06

Authors: Rémi Lebret, Serge Iovleff, Florent Langrognet, Christophe Biernacki, Gilles Celeux, Gérard Govaert

Institutions: MODAL: MOdel for Data Analysis and Learning, Laboratoire de Mathématiques de Besançon, Université de Franche-Comté, Université de Technologie de Compiègne, Heuristics and Diagnostics for Complex Systems

Language: English

Topic: Bayesian Methods and Mixture Models

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W1850108541

FWCI: 10.59

Cites: 45

Cited by: 108

Related to: 10