Bounds on the mean power-weighted nearest neighbour distance

Author:

Liitiäinen Elia1,Lendasse Amaury1,Corona Francesco1

Affiliation:

1. Department of Information and Computer Science, Helsinki University of TechnologyPO Box 5400, 02015 TKK Espoo, Finland

Abstract

In this paper, bounds on the mean power-weighted nearest neighbour distance are derived. Previous work concentrates mainly on the infinite sample limit, whereas our bounds hold for any sample size. The results are expected to be of importance, for example in statistical physics, non-parametric statistics and computational geometry, where they are related to the structure of matter as well as properties of statistical estimators and random graphs.

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Reweighting samples under covariate shift using a Wasserstein distance criterion;Electronic Journal of Statistics;2022-01-01

2. The 1-nearest neighbor regression function estimate;Lectures on the Nearest Neighbor Method;2015

3. Entropy estimation;Lectures on the Nearest Neighbor Method;2015

4. The nearest neighbor distance;Lectures on the Nearest Neighbor Method;2015

5. The nearest neighbor rule: variable k;Lectures on the Nearest Neighbor Method;2015

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3