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In this paper, we propose a new pseudo nearest neighbor classification rule (PNNR). It is different from the previous nearest neighbor rule (NNR), this new rule utilizes the distance weighted local learning in each class to get a new nearest neighbor of the unlabeled pattern-pseudo nearest neighbor (PNN), and then assigns the label associated with the PNN for the unlabeled pattern using the NNR. The...
In this paper, we propose a generalized nearest neighbor classification rule (GNNR). It is similar to but different from the previous nearest neighbor rule (NNR), this new rule utilizes more information of the neighbors of the unclassified sample point except its nearest neighbor. Theoretical analysis and experimental results confirm the validity of this new rule.
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