A robust algorithm for solution of the fuzzy clustering problem on the basis of the fuzzy joint points method

DOI10.1007/S10559-008-0002-0zbMath1181.68253OpenAlexW2083139347MaRDI QIDQ946706

Efendi N. Nasibov

Publication date: 24 September 2008

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-008-0002-0

zbMATH Keywords

robustnessclusteringfuzzy joint pointsfuzzy joint set

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Robustness of density-based clustering methods with various neighborhood relations

Cites Work

• Unsupervised fuzzy clustering with multi-center clusters
• Data mining. Concepts and techniques
• Identification of states of complex systems with estimation of admissible measurement errors on the basis of fuzzy information
• Fuzzy clustering based on \(K\)-nearest-neighbours rule
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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