Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices

DOI10.1007/978-3-319-47557-8_4zbMath1429.62250OpenAlexW2576205934MaRDI QIDQ5213736

Yuchi Kanzawa

Publication date: 4 February 2020

Published in: Fuzzy Sets, Rough Sets, Multisets and Clustering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-47557-8_4

zbMATH Keywords

kernelfuzzy \(c\)-meanssemi-supervised clusteringrelational clustering

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

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• Relational duals of the c-means clustering algorithms
• Enhancement of fuzzy clustering by mechanisms of partial supervision
• Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms

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