A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm

@inproceedings{Wettschereck1994AHN,
  title={A Hybrid Nearest-Neighbor and Nearest-Hyperrectangle Algorithm},
  author={Dietrich Wettschereck},
  booktitle={ECML},
  year={1994}
}
Algorithms based on Nested Generalized Exemplar (NGE) theory [10] classify new data points by computing their distance to the nearest "generalized exemplar" (i.e. an axis-parallel multidimensional rectangle). An improved version of NGE, called BNGE, was previously shown to perform comparably to the Nearest Neighbor algorithm. Advantages of the NGE approach include compact representation of the training data and fast training and classification. A hybrid method that combines BNGE and the k… CONTINUE READING
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