A genetic rule-based data clustering toolkit

@article{Sarafis2002AGR,
  title={A genetic rule-based data clustering toolkit},
  author={Ioannis Sarafis and Ali M. S. Zalzala and Phil W. Trinder},
  journal={Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600)},
  year={2002},
  volume={2},
  pages={1238-1243 vol.2}
}
Clustering is a hard combinatorial problem and is defined as the unsupervised classification of patterns. The formation of clusters is based on the principle of maximizing the similarity between objects of the same cluster while simultaneously minimizing the similarity between objects belonging to distinct clusters. This paper presents a tool for database clustering using a rule-based genetic algorithm (RBCGA). RBCGA evolves individuals consisting of a fixed set of clustering rules, where each… CONTINUE READING

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