A local mean-based nonparametric classifier

Authors:
Y. Mitani;Y. Hamamoto
Affiliations:
Ube National College of Technology, Department of Intelligent System Engineering, 2-14-1, Tokiwadai, Ube 755-8555, Japan;Faculty of Engineering, Yamaguchi University, Ube 755-8611, Japan
Venue:
Pattern Recognition Letters
Year:
2006

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Abstract

A considerable amount of effort has been devoted to design a classifier in practical situations. In this paper, a simple nonparametric classifier based on the local mean vectors is proposed. The proposed classifier is compared with the 1-NN, k-NN, Euclidean distance (ED), Parzen, and artificial neural network (ANN) classifiers in terms of the error rate on the unknown patterns, particularly in small training sample size situations. Experimental results show that the proposed classifier is promising even in practical situations.