English

Metric 1-median selection with fewer queries

Data Structures and Algorithms 2018-07-31 v2

Abstract

Let h ⁣:Z+Z+{1}h\colon\mathbb{Z}^+\to\mathbb{Z}^+\setminus\{1\} be any function such that h(n)h(n) and n1/h(n)\lceil n^{1/h(n)}\rceil are computable from nn in O(h(n)n1+1/h(n))O(h(n)\cdot n^{1+1/h(n)}) time. We show that given any nn-point metric space (M,d)(M,d), the problem of finding argminiMjMd(i,j)\mathop{\mathrm{argmin}}_{i\in M}\,\sum_{j\in M}\,d(i,j) (breaking ties arbitrarily) has a deterministic, O(h(n)n1+1/h(n))O(h(n)\cdot n^{1+1/h(n)})-time, O(n1+1/h(n))O(n^{1+1/h(n)})-query, (2h(n))(2\,h(n))-approximation and nonadaptive algorithm. Our proofs modify those of Chang~\cite{Cha15, Cha15CMCT} with the following improvements: (1) We improve Chang's~\cite{Cha15} query complexity of O(h(n)n1+1/h(n))O(h(n)\cdot n^{1+1/h(n)}) to O(n1+1/h(n))O(n^{1+1/h(n)}), everything else being equal. (2) Chang's~\cite{Cha15CMCT} unpublished work establishes our result only when nn is a perfect (h(n))(h(n))th power.

Keywords

Cite

@article{arxiv.1612.08654,
  title  = {Metric 1-median selection with fewer queries},
  author = {Ching-Lueh Chang},
  journal= {arXiv preprint arXiv:1612.08654},
  year   = {2018}
}

Comments

A preliminary version of this paper appears in {\em Proceedings of the 2017 IEEE International Conference on Applied System Innovation}, Sapporo, Japan