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An optimal algorithm for the on-line closest-pair problem

Published: 01 July 1992 Publication History

Abstract

We give an algorithm that computes the closest pair in a set of n points in k-dimensional space on-line, in O(n log n) time. The algorithm only uses algebraic functions and, therefore, is optimal. The algorithm maintains a hierarchical subdivision of k-sapce into hyper-rectangles, which is stored in a binary tree. Centroids are used to maintain a balanced decomposition of this tree.

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Cited By

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  • (2015)An Efficient Comparison-Based Deterministic Algorithm to Solve the Closest Pair Problem2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)10.1109/ICICTA.2015.45(145-148)Online publication date: Jun-2015
  • (2005)Approximate k-Closest-Pairs in Large High-Dimensional Data SetsJournal of Mathematical Modelling and Algorithms10.1007/s10852-004-4080-34:2(149-179)Online publication date: Jun-2005
  • (2005)Combine and conquer: A general technique for dynamic algorithmsAlgorithms—ESA '9310.1007/3-540-57273-2_47(97-108)Online publication date: 1-Jun-2005
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cover image ACM Conferences
SCG '92: Proceedings of the eighth annual symposium on Computational geometry
July 1992
384 pages
ISBN:0897915178
DOI:10.1145/142675
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 01 July 1992

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Cited By

View all
  • (2015)An Efficient Comparison-Based Deterministic Algorithm to Solve the Closest Pair Problem2015 8th International Conference on Intelligent Computation Technology and Automation (ICICTA)10.1109/ICICTA.2015.45(145-148)Online publication date: Jun-2015
  • (2005)Approximate k-Closest-Pairs in Large High-Dimensional Data SetsJournal of Mathematical Modelling and Algorithms10.1007/s10852-004-4080-34:2(149-179)Online publication date: Jun-2005
  • (2005)Combine and conquer: A general technique for dynamic algorithmsAlgorithms—ESA '9310.1007/3-540-57273-2_47(97-108)Online publication date: 1-Jun-2005
  • (2005)Static and dynamic algorithms for k-point clustering problemsAlgorithms and Data Structures10.1007/3-540-57155-8_254(265-276)Online publication date: 9-Jun-2005
  • (2005)Dynamic closest pairs — A probabilistic approachAlgorithm Theory — SWAT '9210.1007/3-540-55706-7_31(340-351)Online publication date: 2-Jun-2005
  • (1998)Fast hierarchical clustering and other applications of dynamic closest pairsProceedings of the ninth annual ACM-SIAM symposium on Discrete algorithms10.5555/314613.315030(619-628)Online publication date: 1-Jan-1998
  • (1997)A Reliable Randomized Algorithm for the Closest-Pair ProblemJournal of Algorithms10.1006/jagm.1997.087325:1(19-51)Online publication date: 1-Oct-1997
  • (1995)Algorithms for dynamic closest pair and n-body potential fieldsProceedings of the sixth annual ACM-SIAM symposium on Discrete algorithms10.5555/313651.313705(263-272)Online publication date: 22-Jan-1995
  • (1995)An optimal algorithm for closest pair maintenance (extended abstract)Proceedings of the eleventh annual symposium on Computational geometry10.1145/220279.220296(152-161)Online publication date: 1-Sep-1995
  • (1995)Dynamic Euclidean minimum spanning trees and extrema of binary functionsDiscrete & Computational Geometry10.1007/BF0257403013:1(111-122)Online publication date: 1-Dec-1995
  • Show More Cited By

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