Clustering Problems for More Useful Benchmarking of Optimization Algorithms

Abstract

This paper analyses the data clustering problem from the continuous black-box optimization point of view and proposes methodological guidelines for a standard benchmark of clustering problem instances. Clustering problems have been used many times in the literature to evaluate evolutionary, metaheuristic and other global optimization algorithms. However… (More)
DOI: 10.1007/978-3-319-13563-2_12

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Cite this paper

@inproceedings{Gallagher2014ClusteringPF, title={Clustering Problems for More Useful Benchmarking of Optimization Algorithms}, author={Marcus Gallagher}, booktitle={SEAL}, year={2014} }