Fuzzy clustering with high contrast

DOI10.1016/0377-0427(95)00008-9zbMath0847.62052OpenAlexW2068307051MaRDI QIDQ1917903

E. Trauwaert, L. Kaufman, Peter J. Rousseeuw

Publication date: 15 July 1996

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0377-0427(95)00008-9

zbMATH Keywords

classificationalgorithmfuzzy clusteringfuzzy \(k\)-meansfuzzy minimum volume method

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Clustering in the social and behavioral sciences (91C20)

Related Items (9)

Fuzzy clustering with high contrast ⋮ Incorporating spatial context into fuzzy-possibilistic clustering using Bayesian inference ⋮ Robust constrained fuzzy clustering ⋮ Three-way fuzzy clustering models for LR fuzzy time trajectories ⋮ Robust, fuzzy, and parsimonious clustering, based on mixtures of factor analyzers ⋮ A sequential Bayesian alternative to the classical parallel fuzzy clustering model ⋮ Rederivation of the fuzzy-possibilistic clustering objective function through Bayesian inference ⋮ Optimal design of radial basis function neural networks for fuzzy-rule extraction in high dimensional data ⋮ A fuzzy vector quantization approach to image compression

Uses Software

• clusfind

Cites Work

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• Pattern classification problems and fuzzy sets
• Fuzzy clustering algorithms based on the maximum likelihood principle
• Numerical taxonomy with fuzzy sets
• Fuzzy clustering with high contrast
• Finding Groups in Data
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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