Nonparametric classifier design using vector quantization

TitleNonparametric classifier design using vector quantization
Publication TypeConference Paper
Year of Publication1994
AuthorsXie, Q., R. K. Ward, and C. A. LASZLO
Conference NameInformation Theory and Statistics, 1994. Proceedings., 1994 IEEE-IMS Workshop on
Pagination22
Date Publishedoct.
Keywordscompetitive classification accuracy, computational complexity, computer storage, data reduction, nonparametric classifier design, vector quantisation, vector quantization
Abstract

VQ-based method is developed as an effective data reduction technique for nonparametric classifier design. This new technique, while insisting on competitive classification accuracy, is found to overcome the usual disadvantage of traditional nonparametric classifiers of being computationally complex and of requiring large amounts of computer storage

URLhttp://dx.doi.org/10.1109/WITS.1994.513862
DOI10.1109/WITS.1994.513862

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