On the unification of possibilistic fuzzy clustering: axiomatic development and convergence analysis
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Publication:1795022
DOI10.1016/j.fss.2017.07.005zbMath1397.62229OpenAlexW2737818802MaRDI QIDQ1795022
Publication date: 16 October 2018
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2017.07.005
convergence analysisclosed graph theoremfuzzy clusteringpenalty functionaxiomatic developmentalternative optimizationgeneralized contribution functionpossibilistic fuzzy clustering
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Multivariate analysis and fuzziness (62H86)
Cites Work
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- Entropic means
- An iterative row-action method for interval convex programming
- I-divergence geometry of probability distributions and minimization problems
- Axiomatic generalization of the membership degree weighting function for fuzzy \(C\) means clustering: theoretical development and convergence analysis
- A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
- c-means clustering with the l/sub l/ and l/sub infinity / norms
- A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
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