A method for training finite mixture models under a fuzzy clustering principle
type: Item
instance of: scholarly article
title: A method for training finite mixture models under a fuzzy clustering principle
zbMATH Open document ID: 1204.62099
author: Sotirios P. Chatzis
published in: Fuzzy Sets and Systems
publication date: 2011-01-31T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62H86
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5843053
zbMATH Keywords: learning
zbMATH Keywords: fuzzy clustering
zbMATH Keywords: fuzzy statistics
zbMATH Keywords: data analysis
describes a project that uses: UCI-ml
MaRDI profile type: Publication
full work available at URL: j.fss.2010.03.015
OpenAlex ID: W2051189104
cites work: Finite mixture models
cites work: Q4139463
cites work: Fuzzy sets
cites work: Q3969900
cites work: Q4490109
cites work: Q4516026
cites work: Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
cites work: Another interpretation of the EM algorithm for mixture distributions
cites work: A new approach to clustering
cites work: Extension of the mixture of factor analyzers model to incorporate the multivariate \(t\)-distribution
cites work: Q4844339
DOI: 10.1016/J.FSS.2010.03.015
description: scientific article; zbMATH DE number 5843053