A parametrically-defined nearest neighbor distance measure

被引：10
|
作者：
Fukunaga, Keinosuke [1 ]
Flick, Thomas E. [1 ]
机构：
[1] Purdue Univ, Sch Elect Engn, W Lafayette, IN 47907 USA
来源：
PATTERN RECOGNITION LETTERS | 1982年 / 1卷 / 01期
基金：
美国国家科学基金会;
关键词：
Asymptotic risk; finite sample risk; nearest neighbor methods; parametrically-directed;
D O I：
10.1016/0167-8655(82)90043-5
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A parametrically-directed nearest neighbor procedure is developed to reduce the error between asymptotic and finite sample risk. Two examples are given.
引用
收藏
页码：3 / 5
页数：3
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