A benchmark calculation for the fuzzy \(c\)-means clustering algorithm: initial memberships

DOI10.1007/s10910-012-0059-xzbMath1307.62167OpenAlexW2088703689MaRDI QIDQ1934324

Jaime Rubio-Martinez, Alex Rodriguez, M. Santos Tomás

Publication date: 28 January 2013

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-012-0059-x

zbMATH Keywords

clusteringfuzzy \(c\)-meansbenchmark

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Multivariate analysis and fuzziness (62H86)

Cites Work

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• An initialization method for the \(K\)-means algorithm using neighborhood model
• Numerical taxonomy with fuzzy sets
• Optimality tests for the fuzzy \(c\)-means algorithm
• Convergence theory for fuzzy c-means: Counterexamples and repairs
• Finding Groups in Data
• Cluster Validity with Fuzzy Sets

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