A time-domain-constrained fuzzy clustering method and its application to signal analysis

DOI10.1016/j.fss.2005.04.003zbMath1070.62052OpenAlexW1980910046MaRDI QIDQ2565784

Aleksander J. Owczarek, Jacek M. Łęski

Publication date: 28 September 2005

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

Full work available at URL: https://doi.org/10.1016/j.fss.2005.04.003

zbMATH Keywords

Fuzzy clusteringSignal analysisFuzzy c-meansConstraints in time domainFuzzy c-regression models

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

On robust fuzzy \(c\)-regression models ⋮ An enhanced clustering function approximation technique for a radial basis function neural network

Cites Work

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• Modified Gath-Geva clustering for fuzzy segmentation of multivariate time-series
• L\({}_ 1\)-norm based fuzzy clustering
• Methods for alignment of multi-class signal sets
• Gaussian clustering method based on maximum-fuzzy-entropy interpretation
• Towards a robust fuzzy clustering.
• Fuzzy \(c\)-varieties/elliptotypes clustering in reproducing kernel Hilbert space.
• \(\varepsilon\)-insensitive fuzzy \(c\)-medians clustering
• c-means clustering with the l/sub l/ and l/sub infinity / norms
• A new approach to clustering
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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