A vector quantization method for nearest neighbor classifier design

نویسندگان

  • Chen-Wen Yen
  • Chieh-Neng Young
  • Mark L. Nagurka
چکیده

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. 2004 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Pattern Recognition Letters

دوره 25  شماره 

صفحات  -

تاریخ انتشار 2004