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APPROX
2007
Springer
112views Algorithms» more  APPROX 2007»
14 years 2 months ago
On Approximating the Average Distance Between Points
Abstract. We consider the problem of approximating the average distance between pairs of points in a high-dimensional Euclidean space, and more generally in any metric space. We co...
Kfir Barhum, Oded Goldreich, Adi Shraibman
ICALP
2005
Springer
14 years 2 months ago
Linear Time Algorithms for Clustering Problems in Any Dimensions
Abstract. We generalize the k-means algorithm presented by the authors [14] and show that the resulting algorithm can solve a larger class of clustering problems that satisfy certa...
Amit Kumar, Yogish Sabharwal, Sandeep Sen
SODA
2000
ACM
127views Algorithms» more  SODA 2000»
13 years 10 months ago
Dimensionality reduction techniques for proximity problems
In this paper we give approximation algorithms for several proximity problems in high dimensional spaces. In particular, we give the rst Las Vegas data structure for (1 + )-neares...
Piotr Indyk
TAMC
2009
Springer
14 years 3 months ago
A Simple Greedy Algorithm for the k-Disjoint Flow Problem
In classical network flow theory the choice of paths, on which flow is sent, is only restricted by arc capacities. This, however, is not realistic in most applications. Many prob...
Maren Martens
CEC
2008
IEEE
14 years 3 months ago
A parallel surrogate-assisted multi-objective evolutionary algorithm for computationally expensive optimization problems
Abstract— This paper presents a new efficient multiobjective evolutionary algorithm for solving computationallyintensive optimization problems. To support a high degree of parall...
Anna Syberfeldt, Henrik Grimm, Amos Ng, Robert Ivo...