A Vector Quantization Method for Nearest Neighbor Classifier Design

Authors

Chen-Wen Yen, National Sun Yat-Sen UniversityFollow
Chieh-Neng Young, National Sun Yat-Sen UniversityFollow
Mark L. Nagurka, Marquette UniversityFollow

Document Type

Article

Language

eng

Publication Date

4-19-2004

Publisher

Elsevier

Source Publication

Pattern Recognition Letters

Source ISSN

0167-8655

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.

Comments

Accepted version. Pattern Recognition Letters, Vol. 25, No. 6 (April 19, 2004): 725-731. DOI. © 2004 Elsevier B.V. Used with permission.

Recommended Citation

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.
https://epublications.marquette.edu/mechengin_fac/199