Fuzzy c-Means Clustering of Incomplete Data Using Dimension-Wise Fuzzy Variances of Clusters

DOI10.1007/978-3-319-40596-4_58zbMath1457.62199OpenAlexW2504268877MaRDI QIDQ5115764

Stefan Conrad, Ludmila Himmelspach

Publication date: 18 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40596-4_58

zbMATH Keywords

clusteringincomplete datamissing valuesfuzzy \(c\)-means (FCM)

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86) Missing data (62D10)

Uses Software

• UCI-ml

Cites Work

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• A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap
• Different approaches to fuzzy clustering of incomplete datasets
• Fuzzy clustering: more than just fuzzification

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