Identifying connected components in Gaussian finite mixture models for clustering
type: Item
instance of: scholarly article
title: Identifying connected components in Gaussian finite mixture models for clustering
zbMATH Open document ID: 1468.62174
author: Luca Scrucca
published in: Computational Statistics and Data Analysis
publication date: 2018-08-15T00:00:00Z
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6918684
zbMATH Keywords: finite mixture of Gaussian distributions
zbMATH Keywords: cluster analysis
zbMATH Keywords: connected components
zbMATH Keywords: high density regions
zbMATH Keywords: cluster cores
describes a project that uses: pdfCluster
describes a project that uses: mclust
describes a project that uses: R
describes a project that uses: geometry
describes a project that uses: Qhull
MaRDI profile type: Publication
full work available at URL: j.csda.2015.01.006
OpenAlex ID: W2055747151
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DOI: 10.1016/J.CSDA.2015.01.006
description: scientific article; zbMATH DE number 6918684