Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation

DOI10.1016/j.patcog.2009.04.013zbMath1175.68357OpenAlexW2073288201MaRDI QIDQ2270717

Min Han, Jianchao Fan, Jun Wang

Publication date: 29 July 2009

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2009.04.013

zbMATH Keywords

clusteringimage segmentationattribute weightsfuzzy C-meanscenter initialization

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Related Items (4)

EM-IFCM: fuzzy c-means clustering algorithm based on edge modification for imbalanced data ⋮ A spatially constrained fuzzy hyper-prototype clustering algorithm ⋮ Cooperative clustering ⋮ An application of sine cosine algorithm-based fuzzy possibilistic \(c\)-ordered means algorithm to cluster analysis

Cites Work

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• Fuzzy clustering for the estimation of the parameters of the components of mixtures of normal distributions
• A new cluster validity index for the fuzzy c-mean
• Filtering and the EM-Algorithm for the Markovian Arrival Process

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