Classifier design using nearest neighbor samples

被引：0
|
作者：
Mitani, T [1 ]
Hamamoto, Y [1 ]
机构：
[1] Yamaguchi Jr Coll, Hofu 7471232, Japan
来源：
2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III | 2000年
关键词：
classifier design; nearest neighbor samples; dimensionality; small sample size;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A considerable amount of effort has been devoted to design a classifier in practical situations. In this paper. a simple nonparametric classifier is proposed. The proposed classifier uses nearest neighbor training samples from a pattern to be classified and its performance is compared with that of the k-NN classifier in terms of the error rate, particularly in small training sample size situations. Experimental results show that the proposed classifier is promising in practical situations.
引用
收藏
页码：1448 / 1452
页数：5
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