Metric 1-Median Selection

Author:

Chang Ching-Lueh1

Affiliation:

1. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan

Abstract

Consider the problem of finding a point in a metric space ({ 1,2,…, n }, d ) with the minimum average distance to other points. We show that this problem has no deterministic o ( n 1+1/( h -1) / h )-query 2 h · (1-ϵ))-approximation algorithms for any constant ϵ >0 and any h = h ( n )∈ Z + \ {1} satisfying h = o ( n 1/( h -1) ). Combining our result with existing ones, we determine the best approximation ratio achievable by deterministic O ( n 1+ϵ )-query (respectively, O ( n 1+ϵ )-time) algorithms to be 2⌈ 1/ϵ ⌉, for all constants ϵ ∈ (0,1).

Funder

Ministry of Science and Technology of Taiwan

Publisher

Association for Computing Machinery (ACM)

Subject

Computational Theory and Mathematics,Theoretical Computer Science

Cited by 4 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. Deterministic Metric 1-median Selection with a $$1-o(1)$$ Fraction of Points Ignored;Lecture Notes in Computer Science;2021

2. On ultrametric 1-median selection;Theoretical Computer Science;2020-08

3. On Las Vegas approximations for metric 1-median selection;Information Processing Letters;2019-06

4. A Note on Metric 1-median Selection;Communications in Computer and Information Science;2019

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