PCFA: mining of projected clusters in high dimensional data using modified FCM algorithm

@article{Ilango2014PCFAMO,
  title={PCFA: mining of projected clusters in high dimensional data using modified FCM algorithm},
  author={Murugappan Ilango and Vasudev Mohan},
  journal={Int. Arab J. Inf. Technol.},
  year={2014},
  volume={11},
  pages={168-177}
}
Data deals with the specific problem of partitioning a group of objects into a fixed number of subsets, so that the similarity of the objects in each subset is increased and the similarity across subsets is reduced. Several algorithms have been proposed in the literature for clustering, where k-means clustering and Fuzzy C-Means (FCM) clustering are the two popular algorithms for partitioning the numerical data into groups. But, due to the drawbacks of both categories of algorithms, recent… CONTINUE READING

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