A new robust fuzzy clustering validity index for imbalanced data sets

DOI10.1016/J.INS.2020.08.041zbMath1479.62050OpenAlexW3080206299MaRDI QIDQ2056314

Yanfang Jiang, Tao Hou, Fu Liu, Yun Liu

Publication date: 2 December 2021

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2020.08.041

zbMATH Keywords

clustering analysisimbalanced data setsclustering validity indexfuzzy c-means method

Mathematics Subject Classification ID

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

Related Items (1)

EM-IFCM: fuzzy c-means clustering algorithm based on edge modification for imbalanced data

Cites Work

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• Fast and robust fuzzy \(c\)-means clustering algorithms incorporating local information for image segmentation
• Cluster validity index for estimation of fuzzy clusters of different sizes and densities
• Numerical taxonomy with fuzzy sets
• Global optimality in \(k\)-means clustering
• External clustering validity index based on chi-squared statistical test
• Robust cluster validity indexes
• A new internal index based on density core for clustering validation
• Cluster Validity with Fuzzy Sets

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