LEARNING DECISION REGIONS BASED ON ADAPTIVE ELLIPSOIDS

DOI10.1142/S0218488514500032zbMath1322.68162OpenAlexW2089394768MaRDI QIDQ3194994

Leehter Yao, Kuei-Sung Weng

Publication date: 21 October 2015

Published in: International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218488514500032

zbMATH Keywords

classificationellipsoidsgenetic algorithmcluster validityfuzzy c-meansGustafson-Kessel algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20) Multivariate analysis and fuzziness (62H86)

Cites Work

• Numerical taxonomy with fuzzy sets
• A cluster validation index for GK cluster analysis based on relative degree of sharing
• Fuzzy rules extraction directly from numerical data for function approximation
• On clustering validation techniques
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
• Cluster Validity with Fuzzy Sets

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