Participatory Learning Fuzzy Clustering for Interval-Valued Data

DOI10.1007/978-3-319-40596-4_57zbMath1452.68154OpenAlexW2478038200MaRDI QIDQ5115762

Rosangela Ballini, Ronald R. Yager, Fernando Gomide, Leandro Maciel

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_57

zbMATH Keywords

fuzzy clusteringinterval dataparticipatory learning

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Fuzzy \(K\)-means clustering algorithms for interval-valued data based on adaptive quadratic distances
• Partitional fuzzy clustering methods based on adaptive quadratic distances
• An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network
• Interval arithmetic
• CIRCLE STRUCTURE DERIVED FROM DECOMPOSITION OF ASYMMETRIC DATA MATRIX
• Introduction to Interval Analysis
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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