A robust clustering procedure for fuzzy data

DOI10.1016/j.camwa.2010.04.042zbMath1198.62068OpenAlexW2045515577MaRDI QIDQ604056

Wen-Liang Hung, Miin-Shen Yang, Lee, E. Stanley

Publication date: 8 November 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2010.04.042

zbMATH Keywords

robustnessoutliersimilarity measure\(LR\)-type fuzzy numberrobust clustering algorithmtea evaluation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)

Related Items (3)

Automatic clustering algorithm for fuzzy data ⋮ Fuzzy clustering of fuzzy data based on robust loss functions and ordered weighted averaging ⋮ Self-organizing maps for imprecise data

Cites Work

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• A weighted fuzzy \(C\)-means clustering model for fuzzy data
• On a class of fuzzy \(c\)-numbers clustering procedures for fuzzy data
• On statistical inference for fuzzy data with applications to descriptive statistics
• A survey of fuzzy clustering
• Fuzzy clustering on LR-type fuzzy numbers with an application in Taiwanese tea evaluation
• Similarity relations and fuzzy orderings
• Fuzzy sets

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