Model-based clustering of high-dimensional data: a review
type: Item
instance of: scholarly article
title: Model-based clustering of high-dimensional data: a review
zbMATH Open document ID: 1471.62032
author: Charles Bouveyron
author: Camille Brunet-Saumard
published in: Computational Statistics and Data Analysis
publication date: 2018-11-08T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6975372
zbMATH Keywords: model-based clustering
zbMATH Keywords: high-dimensional data
zbMATH Keywords: dimension reduction
zbMATH Keywords: regularization
zbMATH Keywords: parsimonious models
zbMATH Keywords: subspace clustering
zbMATH Keywords: variable selection
zbMATH Keywords: software
zbMATH Keywords: R package
describes a project that uses: PRMLT
describes a project that uses: R
describes a project that uses: mclust
describes a project that uses: UCI-ml
describes a project that uses: glasso
describes a project that uses: sparcl
describes a project that uses: bclust
describes a project that uses: MASS (R)
describes a project that uses: PGMM
describes a project that uses: statlearn
describes a project that uses: EMMIX
describes a project that uses: HDclassif
describes a project that uses: Mixmod
MaRDI profile type: Publication
full work available at URL: j.csda.2012.12.008
OpenAlex ID: W2021137021
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Model-based clustering of high-dimensional data: a review (DOI)
DOI: 10.1016/J.CSDA.2012.12.008