Optimization approach for clustering datasets with weights

DOI10.1080/10556780512331318191zbMath1072.90040OpenAlexW2091984489MaRDI QIDQ5317753

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Publication date: 21 September 2005

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/38538

zbMATH Keywords

nonsmooth optimizationself-organizing mapskeletoncluster functionBradley-Mangasarian approximationdatasets with weights

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Nonlinear programming (90C30)

Cites Work

• Self-organized formation of topologically correct feature maps
• A comparison of SOM neural network and hierarchical clustering methods
• Clustering properties of hierarchical self-organizing maps
• \(k\)-plane clustering
• A global optimization approach to classification

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