Gaussian clustering method based on maximum-fuzzy-entropy interpretation

DOI10.1016/S0165-0114(97)00126-7zbMath0937.62063MaRDI QIDQ1303931

Masao Mukaidono, Rui-Ping Li

Publication date: 22 September 1999

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

zbMATH Keywords

fuzzy setsfuzzy entropyGaussian-clusteringmaximum-entropy interpretation

Mathematics Subject Classification ID

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

Related Items (10)

Distance and entropy measures for dual hesitant fuzzy sets ⋮ A Kemeny distance-based robust fuzzy clustering for preference data ⋮ Possibilistic and probabilistic fuzzy clustering: Unification within the framework of the non-extensive thermostatistics ⋮ Relative entropy fuzzy \(c\)-means clustering ⋮ Fuzzy unsupervised classification of multivariate time trajectories with the Shannon entropy regularization ⋮ Metacluster-based projective clustering ensembles ⋮ SMKFC-ER: semi-supervised multiple kernel fuzzy clustering based on entropy and relative entropy ⋮ Fuzzy c-means clustering with conditional probability based K–L information regularization ⋮ A time-domain-constrained fuzzy clustering method and its application to signal analysis ⋮ A fuzzy neural network for pattern classification and feature selection

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• A Mathematical Theory of Communication
• Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like?
• On measures of information and their characterizations
• The concept of a linguistic variable and its application to approximate reasoning. III
• Information Theory and Statistical Mechanics
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
• A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory

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