Possibility theoretic clustering and its preliminary application to large image segmentation

DOI10.1007/S00500-006-0056-8zbMath1141.68644OpenAlexW2144284648MaRDI QIDQ855225

Dewen Hu, Qing Lin, Min Xu, Fu-lai Chung, Shi-Tong Wang

Publication date: 4 January 2007

Published in: Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00500-006-0056-8

zbMATH Keywords

Biased samplingClustering algorithmConsistent functionsEpanechnikov kernel functionsExponential possibility distributionLarge image segmentation

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Uses Software

• KernSmooth

Cites Work

• Visual stability analysis for model selection in graded possibilistic clustering
• On the instantiation of possibility distributions
• The robustness of the \(p\)-norm algorithms
• Evidence theory of exponential possibility distributions
• Fuzzy sets as a basis for a theory of possibility
• Possibilistic data analysis for operations research
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