Various Types of Objective-Based Rough Clustering

DOI10.1007/978-3-319-47557-8_5zbMath1429.62240OpenAlexW2577269998MaRDI QIDQ5213738

Yasunori Endo, Naohiko Kinoshita

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_5

zbMATH Keywords

cluster algorithmobjective functionfuzzy clusterlower approximationcluster center

Mathematics Subject Classification ID

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

Related Items (1)

Objective function-based rough membership C-means clustering

Cites Work

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• Interval set clustering of web users with rough \(K\)-means
• Rough classification
• Rough sets
• Rough Sets and Current Trends in Computing
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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