Vector quantization in DCT domain using fuzzy possibilistic c-means based on penalized and compensated constraints

DOI10.1016/S0031-3203(01)00190-XzbMath1006.68898OpenAlexW2138420859MaRDI QIDQ1860177

Jzau-Sheng Lin, Shao-Han Liu

Publication date: 20 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0031-3203(01)00190-x

zbMATH Keywords

vector quantizationdiscrete cosine transformfuzzy c-meansfuzzy possibilistic c-means

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

Related Items (3)

Estimation of parameters in latent class models using fuzzy clustering algorithms ⋮ A ROBUST FUZZY CLASSIFICATION MAXIMUM LIKELIHOOD CLUSTERING FRAMEWORK ⋮ FUZZY CLASS LOGISTIC REGRESSION ANALYSIS

Cites Work

• On a class of fuzzy classification maximum likelihood procedures
• Discrete Cosine Transform
• Fuzzy sets
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
• Unnamed Item

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