Clustering by maximizing a fuzzy classification maximum likelihood criterion

DOI10.1007/978-3-642-57678-2_18zbMath1455.62132OpenAlexW138610695MaRDI QIDQ3297936

Christophe Ambroise, Gérard Govaert

Publication date: 21 July 2020

Published in: COMPSTAT (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-57678-2_18

zbMATH Keywords

EM algorithmfuzzy clusteringmixture model

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Cites Work

• Unnamed Item
• Another interpretation of the EM algorithm for mixture distributions
• Numerical taxonomy with fuzzy sets
• Fuzzy clustering using scatter matrices
• A classification EM algorithm for clustering and two stochastic versions
• Model-Based Gaussian and Non-Gaussian Clustering

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