Rough-fuzzy weighted k-nearest leader classifier for large data sets

@article{Babu2009RoughfuzzyWK,
  title={Rough-fuzzy weighted k-nearest leader classifier for large data sets},
  author={V. Suresh Babu and P. Viswanath},
  journal={Pattern Recognition},
  year={2009},
  volume={42},
  pages={1719-1731}
}
A leaders set which is derived using the leaders clustering method can be used in place of a large training set to reduce the computational burden of a classifier. Recently, a fast and efficient leader-based classifier called weighted k-nearest leader-based classifier is shown by us to be an efficient and faster classifier. But, there exist some uncertainty while calculating the relative importance (weight) of the prototypes. This paper proposes a generalization over the earlier proposed k… CONTINUE READING

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