Weight selection in \(W-k\)-means algorithm with an application in color image segmentation

DOI10.1016/J.CAMWA.2011.05.048zbMath1228.94007OpenAlexW2163938022MaRDI QIDQ651544

Yen-Chang Chang, Wen-Liang Hung, Lee, E. Stanley

Publication date: 18 December 2011

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.05.048

zbMATH Keywords

entropy\(k\)-means algorithmcoefficient of variationcolor image segmentation\(W-k\)-means algorithm

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Measures of information, entropy (94A17)

Cites Work

• Unnamed Item
• Modified global \(k\)-means algorithm for minimum sum-of-squares clustering problems
• An initialization method for the \(K\)-means algorithm using neighborhood model

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