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» Sublinear time approximate clustering
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110
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STOC
2004
ACM
122views Algorithms» more  STOC 2004»
16 years 22 days ago
Estimating the weight of metric minimum spanning trees in sublinear-time
In this paper we present a sublinear time (1+ )-approximation randomized algorithm to estimate the weight of the minimum spanning tree of an n-point metric space. The running time...
Artur Czumaj, Christian Sohler
77
Voted
STOC
2002
ACM
103views Algorithms» more  STOC 2002»
16 years 22 days ago
Approximate clustering via core-sets
In this paper, we show that for several clustering problems one can extract a small set of points, so that using those core-sets enable us to perform approximate clustering effici...
Mihai Badoiu, Sariel Har-Peled, Piotr Indyk
ISAAC
2004
Springer
135views Algorithms» more  ISAAC 2004»
15 years 5 months ago
Geometric Optimization Problems Over Sliding Windows
Abstract. We study the problem of maintaining a (1+ )-factor approximation of the diameter of a stream of points under the sliding window model. In one dimension, we give a simple ...
Timothy M. Chan, Bashir S. Sadjad
103
Voted
CIKM
1997
Springer
15 years 4 months ago
Block Addressing Indices for Approximate Text Retrieval
Although the issue of approximate text retrieval is gaining importance in the last years, it is currently addressed by only a few indexing schemes. To reduce space requirements, t...
Ricardo A. Baeza-Yates, Gonzalo Navarro
110
Voted
ISAAC
2005
Springer
122views Algorithms» more  ISAAC 2005»
15 years 6 months ago
Fast k-Means Algorithms with Constant Approximation
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
Mingjun Song, Sanguthevar Rajasekaran