Differential evolution and particle swarm optimisation in partitional clustering

DOI10.1016/j.csda.2004.12.004zbMath1431.62268OpenAlexW2026789128MaRDI QIDQ959223

Sandra Paterlini, Thiemo Krink

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.12.004

zbMATH Keywords

genetic algorithmscluster analysisdifferential evolutionpartitional clusteringparticle swarm optimisation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximation methods and heuristics in mathematical programming (90C59)

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Uses Software

• UCI-ml

Cites Work

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• Genetic clustering for automatic evolution of clusters and application to image classification
• Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
• An evolutionary technique based on K-means algorithm for optimal clustering in \({\mathbb R}^{N}\)
• Pattern classification using genetic algorithms: Determination of H
• Model-Based Gaussian and Non-Gaussian Clustering
• Theoretical performance of genetic pattern classifier
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• A genetic approach to the automatic clustering problem

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