Evolutionary multi-objective clustering with adaptive local search

@article{Ripon2010EvolutionaryMC,
  title={Evolutionary multi-objective clustering with adaptive local search},
  author={Kazi Shah Nawaz Ripon and Kyrre Glette and Mats Hovin and J. Torresen},
  journal={2010 13th International Conference on Computer and Information Technology (ICCIT)},
  year={2010},
  pages={57-62}
}
In many real-world applications, the accurate number of clusters in the data set may be unknown in advance. In addition, clustering criteria are usually high dimensional, nonlinear and multi-model functions and most existing clustering algorithms are only able to achieve a clustering solution that locally optimizes them. Therefore, a single clustering criterion sometimes fails to identify all clusters in a data set successfully. This paper presents a novel multi-objective evolutionary… CONTINUE READING

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