Robust fuzzy clustering algorithms

@article{Dave1993RobustFC,
  title={Robust fuzzy clustering algorithms},
  author={R. N. Dave},
  journal={[Proceedings 1993] Second IEEE International Conference on Fuzzy Systems},
  year={1993},
  pages={1281-1286 vol.2}
}
A class of fuzzy clustering algorithms based on a recently introduced noise cluster concept is proposed. A noise prototype is defined such that it is equidistant to all the points in the data set. This allows detection of clusters among data with or without noise. It is shown that this concept is applicable to all the generalizations of fuzzy and hard K-means algorithms. Various applications are considered. The application of this concept to a variety of regression problems is also considered… CONTINUE READING

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