Fuzzy C-means clustering based on dual expression between cluster prototypes and reconstructed data

DOI10.1016/j.ijar.2017.08.008zbMath1429.62274OpenAlexW2750557327MaRDI QIDQ1678450

Peng Zhang

Publication date: 17 November 2017

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2017.08.008

zbMATH Keywords

fuzzy clusteringparameter selectionfuzzy C-meansreconstructed datadual expression

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics in engineering and industry; control charts (62P30) Multivariate analysis and fuzziness (62H86) Missing data (62D10)

Uses Software

• UCI-ml

Cites Work

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• LinkFCM: relation integrated fuzzy \(c\)-means
• Partitional fuzzy clustering methods based on adaptive quadratic distances
• Granular fuzzy models: analysis, design, and evaluation
• Relative entropy fuzzy \(c\)-means clustering
• New modifications and applications of fuzzy \(C\)-means methodology
• c-means clustering with the l/sub l/ and l/sub infinity / norms
• Suppressed fuzzy c-means clustering algorithm
• Collaborative fuzzy clustering

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