Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition

DOI10.1007/978-3-319-47557-8_7zbMath1429.62265OpenAlexW2572539061MaRDI QIDQ5213740

László Szilágyi

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_7

zbMATH Keywords

fuzzy partitionfuzzy \(c\)-means clusteringpossibilistic \(c\)-means clusteringelliptic shell clusteringspherical shell 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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• An extension to possibilistic fuzzy cluster analysis
• A robust algorithm for automatic extraction of an unknown number of clusters from noisy data
• Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm
• An adaptive FCV clustering algorithm

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