English

On ultrametric $1$-median selection

Data Structures and Algorithms 2019-09-06 v1

Abstract

Consider the problem of finding a point in an ultrametric space with the minimum average distance to all points. We give this problem a Monte Carlo O((log2(1/ϵ))/ϵ3)O((\log^2(1/\epsilon))/\epsilon^3)-time (1+ϵ)(1+\epsilon)-approximation algorithm for all ϵ>0\epsilon>0.

Keywords

Cite

@article{arxiv.1909.02400,
  title  = {On ultrametric $1$-median selection},
  author = {Ching-Lueh Chang},
  journal= {arXiv preprint arXiv:1909.02400},
  year   = {2019}
}
R2 v1 2026-06-23T11:06:45.176Z