Monte Carlo comparisons of selected clustering procedures

DOI10.1016/0031-3203(80)90002-3zbMath0447.62061OpenAlexW2019179552MaRDI QIDQ1146478

Connie L. Begovich, John J. Beauchamp, Charles K. Bayne, Victor E. Kane

Publication date: 1980

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

Full work available at URL: https://doi.org/10.1016/0031-3203(80)90002-3

zbMATH Keywords

discriminant functionprobabilities of misclassificationMonte Carlo comparisonsbivariate normal populationsclustering procedures

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Monte Carlo methods (65C05)

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Using clustering analysis in a capacitated location-routing problem ⋮ A comparison of the classification capabilities of the 1-dimensional Kohonen neural network with two partitioning and three hierarchical cluster analysis algorithms ⋮ Artificial neural networks applied to cancer detection in a breast screening programme ⋮ Estimating the number of groups and group membership using simulation cluster analysis ⋮ An incremental nested partition method for data clustering ⋮ A Monte Carlo evaluation of the moving method, \(k\)-means and two self-organising neural networks

Cites Work

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• 391: A Monte Carlo Comparison of Six Clustering Procedures
• Computer Generation of Normal Random Variables
• Hierarchical grouping methods and stopping rules: an evaluation

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