Closest pair problems in very high dimensions

Piotr Indyk, Moshe Lewenstein, Ohad Lipsky, Ely Porat

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

27 Scopus citations

Abstract

The problem of finding the closest pair among a collection of points in ℛd is a well-known problem. There are better-than-naive- solutions for constant d and approximate solutions in general. We propose the first better-than-naive-solutions for the problem for large d. In particular, we present algorithms for the metrics L1 and L with running times of O(n(ω+3)/2) and O(n(ω+3)/2log D) respectively, where O(nω) is the running time of matrix multiplication and D is the diameter of the points.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsJosep Díaz, Juhani Karhumäki, Arto Lepistö, Donald Sannella
PublisherSpringer Verlag
Pages782-792
Number of pages11
ISBN (Print)3540228497
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3142
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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