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» Approximation Algorithms for Clustering Problems
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STOC
1995
ACM
145views Algorithms» more  STOC 1995»
15 years 8 months ago
Polynomial time approximation schemes for dense instances of NP-hard problems
We present a unified framework for designing polynomial time approximation schemes (PTASs) for “dense” instances of many NP-hard optimization problems, including maximum cut,...
Sanjeev Arora, David R. Karger, Marek Karpinski
SWAT
2004
Springer
98views Algorithms» more  SWAT 2004»
15 years 10 months ago
Tight Approximability Results for Test Set Problems in Bioinformatics
In this paper, we investigate the test set problem and its variations that appear in a variety of applications. In general, we are given a universe of objects to be “distinguish...
Piotr Berman, Bhaskar DasGupta, Ming-Yang Kao
STOC
1998
ACM
139views Algorithms» more  STOC 1998»
15 years 9 months ago
Approximation Schemes for Euclidean k-Medians and Related Problems
In the k-median problem we are given a set S of n points in a metric space and a positive integer k. We desire to locate k medians in space, such that the sum of the distances fro...
Sanjeev Arora, Prabhakar Raghavan, Satish Rao
DASFAA
2008
IEEE
150views Database» more  DASFAA 2008»
15 years 11 months ago
Approximate Clustering of Time Series Using Compact Model-Based Descriptions
Clustering time series is usually limited by the fact that the length of the time series has a significantly negative influence on the runtime. On the other hand, approximative c...
Hans-Peter Kriegel, Peer Kröger, Alexey Pryak...
CP
2009
Springer
16 years 5 months ago
Approximating Weighted Max-SAT Problems by Compensating for Relaxations
We introduce a new approach to approximating weighted Max-SAT problems that is based on simplifying a given instance, and then tightening the approximation. First, we relax its str...
Arthur Choi, Trevor Standley, Adnan Darwiche