A multi-objective genetic algorithm with fuzzy c-means for automatic data clustering

@article{Wikaisuksakul2014AMG,
  title={A multi-objective genetic algorithm with fuzzy c-means for automatic data clustering},
  author={Siripen Wikaisuksakul},
  journal={Appl. Soft Comput.},
  year={2014},
  volume={24},
  pages={679-691}
}
This article presents a multi-objective genetic algorithm which considers the problem of data clustering. A given dataset is automatically assigned into a number of groups in appropriate fuzzy partitions through the fuzzy c-means method. This work has tried to exploit the advantage of fuzzy properties which provide capability to handle overlapping clusters. However, most fuzzy methods are based on compactness and/or separation measures which use only centroid information. The calculation from… CONTINUE READING