Analysis of parameter selections for fuzzy \(c\)-means

DOI10.1016/j.patcog.2011.07.012zbMath1225.68237OpenAlexW2035086573MaRDI QIDQ645871

Kuo-Lung Wu

Publication date: 10 November 2011

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.07.012

zbMATH Keywords

fuzzy clusteringfuzzy \(c\)-meanscluster core

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items

The Optimal Estimation of Fuzziness Parameter in Fuzzy C-Means Algorithm ⋮ A convex semi-nonnegative matrix factorisation approach to fuzzy \(c\)-means clustering ⋮ Boosted-oriented probabilistic smoothing-spline clustering of series ⋮ A generalized fuzzy-possibilistic c-means clustering algorithm ⋮ Incorporating spatial context into fuzzy-possibilistic clustering using Bayesian inference ⋮ A modified Efficient Manifold Ranking Algorithm for Large Database Image Retrieval ⋮ A fuzzy SV-\(k\)-modes algorithm for clustering categorical data with set-valued attributes ⋮ A sequential Bayesian alternative to the classical parallel fuzzy clustering model ⋮ Fuzzy C-Means Clustering Algorithms with Weighted Membership and Distance

Uses Software

• UCI-ml

Cites Work

• Unnamed Item
• A survey of fuzzy clustering
• Towards a robust fuzzy clustering.
• A fuzzy algorithm for color quantization of images
• Alternative c-means clustering algorithms
• Fuzzy algorithms for combined quantization and dithering
• Robust Statistics
• Cluster Validity with Fuzzy Sets