Locally nearest neighbor classifiers for pattern classification

被引：94

作者：

Zheng, WM ^{[1
]}

Zhao, L ^{[1
]}

Zou, CR ^{[1
]}

机构：

[1] Southeast Univ, Dept Radio Engn, Engn Res Ctr Informat Proc & Applicat, Nanjing 210096, Jiangsu, Peoples R China

来源：

PATTERN RECOGNITION | 2004年 / 37卷 / 06期

关键词：

pattern classification; nearest feature line; nearest neighbor line;

D O I：

10.1016/j.patcog.2003.11.004

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, two novel classifiers based on locally nearest neighborhood rule, called nearest neighbor line and nearest neighbor plane, are presented for pattern classification. Comparison to nearest feature line and nearest feature plane, the proposed methods take much lower computation cost and achieve competitive performance. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

引用

页码：1307 / 1309

页数：3

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