A vector quantization method for nearest neighbor classifier design

Authors:
Chen-Wen Yen;Chieh-Neng Young;Mark L. Nagurka
Affiliations:
Department of Mechanical Engineering, National Sun-Yat Sen University, Kaohsiung 80024, Taiwan;Department of Mechanical Engineering, National Sun-Yat Sen University, Kaohsiung 80024, Taiwan;Department of Mechanical and Industrial Engineering, Marquette University, Milwaukee, WI
Venue:
Pattern Recognition Letters
Year:
2004

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Abstract

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.