An M-stage version of the k-RNN rule in statistical discrimination

被引：1

作者：

Bagui, SC

Mehra, KL

Vaughn, BK

机构：

[1] Univ W Florida, Dept Math & Stat, Pensacola, FL 32514 USA

[2] Univ Alberta, Dept Math Sci, Edmonton, AB T6G 2G1, Canada

来源：

JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1997年 / 65卷 / 02期

关键词：

classification; discrimination; 1-NN rule; k-NN rule; 1-RNN rule; k-RNN rule;

D O I：

10.1016/S0378-3758(97)00055-4

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this article a multi-stage (M-stage) k-rank nearest-neighbor (k-RNN) rule is used to discriminate an unknown observation into one of two populations (or classes). The asymptotic risk (i.e., the total probability of misclassification (TPMC)) of this rule is derived and shown that, as the number of stages increases, the limiting TPMC of the M-stage k-RNN rule decreases. (C) 1997 Elsevier Science B.V.

引用

页码：323 / 333

页数：11