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» Approximation Algorithms for Spreading Points
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COMGEO
2004
ACM
13 years 7 months ago
A local search approximation algorithm for k-means clustering
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...
Tapas Kanungo, David M. Mount, Nathan S. Netanyahu...
SIAMJO
2008
76views more  SIAMJO 2008»
13 years 7 months ago
Identification and Elimination of Interior Points for the Minimum Enclosing Ball Problem
Given A := {a1, . . . , am} Rn, we consider the problem of reducing the input set for the computation of the minimum enclosing ball of A. In this note, given an approximate soluti...
S. Damla Ahipasaoglu, E. Alper Yildirim
APPROX
2008
Springer
245views Algorithms» more  APPROX 2008»
13 years 9 months ago
Approximating Optimal Binary Decision Trees
Abstract. We give a (ln n + 1)-approximation for the decision tree (DT) problem. An instance of DT is a set of m binary tests T = (T1, . . . , Tm) and a set of n items X = (X1, . ....
Micah Adler, Brent Heeringa
SODA
1992
ACM
179views Algorithms» more  SODA 1992»
13 years 8 months ago
Approximating the Minimum Weight Triangulation
We show that the length of the minimum weight Steiner triangulation (MWST) of a point set can be approximated within a constant factor by a triangulation algorithm based on quadtr...
David Eppstein
SODA
2010
ACM
238views Algorithms» more  SODA 2010»
14 years 5 months ago
How good is the Chord algorithm?
The Chord algorithm is a popular, simple method for the succinct approximation of curves, which is widely used, under different names, in a variety of areas, such as, multiobjecti...
Constantinos Daskalakis, Ilias Diakonikolas, Mihal...