Analytical and Numerical Evaluation of the Suppressed Fuzzy C-Means Algorithm

DOI10.1007/978-3-540-88269-5_14zbMath1178.68469OpenAlexW137872035MaRDI QIDQ3540949

Zoltán Benyó, Sándor M. Szilágyi, László Szilágyi

Publication date: 25 November 2008

Published in: Modeling Decisions for Artificial Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-540-88269-5_14

zbMATH Keywords

fuzzy c-means algorithmalternating optimizationsuppressed fuzzy c-means algorithmcompetitive clustering

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items (4)

A two-stage U-net approach to brain tumor segmentation from multi-spectral MRI records ⋮ Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition ⋮ A review on suppressed fuzzy c-means clustering models ⋮ Suppressed robust picture fuzzy clustering for image segmentation

Uses Software

• EPCM
• UCI-ml
• k-means++

Cites Work

• An enhanced possibilistic c-means clustering algorithm EPCM
• Efficient Implementation of the Fuzzy c-Means Clustering Algorithms
• Suppressed fuzzy c-means clustering algorithm
• Fuzzy sets
• Unnamed Item
• Unnamed Item
• Unnamed Item

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