An empirical analysis of the probabilistic K-nearest neighbour classifier

@article{Manocha2007AnEA,
  title={An empirical analysis of the probabilistic K-nearest neighbour classifier},
  author={S. Manocha and M. Girolami},
  journal={Pattern Recognit. Lett.},
  year={2007},
  volume={28},
  pages={1818-1824}
}
The probabilistic nearest neighbour (PNN) method for pattern recognition was introduced to overcome a number of perceived shortcomings of the nearest neighbour (NN) classifiers namely the lack of any probabilistic semantics when making predictions of class membership. In addition the NN method possesses no inherent principled framework for inferring the number of neighbours, K, nor indeed associated parameters related to the chosen metric. Whilst the Bayesian inferential methodology underlying… Expand
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