Weighted Parzen windows for pattern classification | IEEE Journals & Magazine | IEEE Xplore

Weighted Parzen windows for pattern classification


Abstract:

This paper introduces the weighted-Parzen-window classifier. The proposed technique uses a clustering procedure to find a set of reference vectors and weights which are u...Show More

Abstract:

This paper introduces the weighted-Parzen-window classifier. The proposed technique uses a clustering procedure to find a set of reference vectors and weights which are used to approximate the Parzen-window (kernel-estimator) classifier. The weighted-Parzen-window classifier requires less computation and storage than the full Parzen-window classifier. Experimental results showed that significant savings could be achieved with only minimal, if any, error rate degradation for synthetic and real data sets.
Page(s): 567 - 570
Date of Publication: 31 May 1996

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