On the use of neighbourhood-based non-parametric classifiers

被引:70
作者
Sanchez, JS [1 ]
Pla, F
Ferri, FJ
机构
[1] Univ Jaume 1, Dept Informat, E-12071 Castellon de La Plana, Spain
[2] Univ Valencia, Dept Informat & Elect, E-46100 Valencia, Spain
关键词
nearest neighbourhood; gabriel graph; relative neighbourhood graph; nearest centroid neighbourhood;
D O I
10.1016/S0167-8655(97)00112-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Alternative non-parametric classification schemes, which come from the use of different definitions of neighbourhood, are introduced. Ln particular, the Nearest Centroid Neighbourhood along with the neighbourhood relation derived from the Gabriel Graph and the Relative Neighbourhood Graph are used to define the corresponding (k-)Nearest Neighbour-like classifiers. Experimental results are reported to compare the performance of the approaches proposed here to the one obtained with the k-Nearest Neighbours rule. (C) 1997 Elsevier Science B.V.
引用
收藏
页码:1179 / 1186
页数:8
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