Online fuzzy c means

@article{Hore2008OnlineFC,
  title={Online fuzzy c means},
  author={Prodip Hore and L. Hall and D. Goldgof and Wushan Cheng},
  journal={NAFIPS 2008 - 2008 Annual Meeting of the North American Fuzzy Information Processing Society},
  year={2008},
  pages={1-5}
}
Clustering streaming data presents the problem of not having all the data available at one time. Further, the total size of the data may be larger than will fit in the available memory of a typical computer. If the data is very large, it is a challenge to apply fuzzy clustering algorithms to get a partition in a timely manner. In this paper, we present an online fuzzy clustering algorithm which can be used to cluster streaming data, as well as very large data sets which might be treated as… CONTINUE READING
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