Some Pairwise Constrained Semi-Supervised Fuzzy c-Means Clustering Algorithms

DOI10.1007/978-3-642-04820-3_25zbMath1273.68312OpenAlexW1538003974MaRDI QIDQ3652107

Sadaaki Miyamoto, Yasunori Endo, Yuchi Kanzawa

Publication date: 17 December 2009

Published in: Modeling Decisions for Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-04820-3_25

zbMATH Keywords

fuzzy \(c\)-meanspairwise constraintssemi-supervised clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

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Fuzzy Classification Function of Standard Fuzzy c-Means Algorithm for Data with Tolerance Using Kernel Function ⋮ Semi-supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices

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