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Many lazy learning algorithms are derivatives of the k-nearest neighbor (k-NN) classiier, which uses a distance function to generate predictions from stored instances. Several studies have shown that k-NN's performance is highly sensitive to the dee-nition of its distance function. Many k-NN variants have been proposed to reduce this sensitivity by(More)
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