Pattern Recognition Letters
This paper proposes a nearest neighbor classifier design method based on vector quantization (VQ). By investigating the error distribution pattern of the training set, the VQ technique is applied to generate prototypes incrementally until the desired classification result is reached. Experimental results demonstrate the effectiveness of the method.
Yen, Chen-Wen; Young, Chieh-Neng; and Nagurka, Mark L., "A Vector Quantization Method for Nearest Neighbor Classifier Design" (2004). Mechanical Engineering Faculty Research and Publications. 199.
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