@inbook{df1508581da041b9956ce2847f744049,
title = "Closest pair problems in very high dimensions",
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.",
author = "Piotr Indyk and Moshe Lewenstein and Ohad Lipsky and Ely Porat",
year = "2004",
doi = "10.1007/978-3-540-27836-8_66",
language = "אנגלית",
isbn = "3540228497",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "782--792",
editor = "Josep D{\'i}az and Juhani Karhum{\"a}ki and Arto Lepist{\"o} and Donald Sannella",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
address = "גרמניה",
}