On nearest-neighbor graphs

被引：118
|
作者：
Eppstein, D
Paterson, MS
Yao, FF
机构：
[1] UNIV WARWICK, DEPT COMP SCI, COVENTRY CV4 7AL, W MIDLANDS, ENGLAND
[2] XEROX CORP, PALO ALTO RES CTR, PALO ALTO, CA 94304 USA
来源：
DISCRETE & COMPUTATIONAL GEOMETRY | 1997年 / 17卷 / 03期
关键词：
D O I：
10.1007/PL00009293
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The ''nearest-neighbor'' relation, or more generally the ''k-nearest-neighbors'' relation, defined for a set of points in a metric space, has found many uses in computational geometry and clustering analysis, yet surprisingly little is known about some of its basic properties. In this paper we consider some natural questions that are motivated by geometric embedding problems. We derive bounds on the relationship between size and depth for the components of a nearest-neighbor graph and prove some probabilistic properties of the k-nearest-neighbors graph for a random set of points.
引用
收藏
页码：263 / 282
页数：20
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