A genetic algorithm approach to cluster analysis.

DOI10.1016/S0898-1221(99)00090-5zbMath1043.62516OpenAlexW2252139872MaRDI QIDQ1963014

M. C. Cowgill, R. J. Harvey, Layne T. Watson

Publication date: 20 January 2000

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0898-1221(99)00090-5

zbMATH Keywords

Genetic algorithmGlobal optimizationCluster analysisData clusteringVariance-ratio maximization

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (12)

Evolution of the population of a genetic algorithm using particle swarm optimization: application to clustering analysis ⋮ A selection process for genetic algorithm using clustering analysis ⋮ Heuristic approaches for batching jobs in printed circuit board assembly ⋮ An optimising approach to alternative clustering schemes ⋮ A hybrid ACO-GRASP algorithm for clustering analysis ⋮ Using swarm intelligence algorithm to solve a part clustering model based on weighted directed graph ⋮ Genetic algorithm segmentation in partial least squares structural equation modeling ⋮ A hybrid stochastic genetic-GRASP algorithm for clustering analysis ⋮ Solving the wire-harness design problem at a European car manufacturer ⋮ GAKREM: A novel hybrid clustering algorithm ⋮ Clustering financial time series: an application to mutual funds style analysis ⋮ Metaheuristics for data mining

Uses Software

• CLUSTISZ

Cites Work

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• Variable-complexity response surface approximations for wing structural weight in HSCT design
• A Monte Carlo study of thirty internal criterion measures for cluster analysis
• A study of the classification capabilities of neural networks using unsupervised learning: A comparison with \(K\)-means clustering
• Unresolved Problems in Cluster Analysis
• Improved genetic algorithm for the design of stiffened composite panels
• Computer Programs for Hierarchical Polythetic Classification ("Similarity Analyses")

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