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» Approximation Algorithms for Clustering Problems
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119
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ICML
2005
IEEE
16 years 5 months ago
Supervised clustering with support vector machines
Supervised clustering is the problem of training a clustering algorithm to produce desirable clusterings: given sets of items and complete clusterings over these sets, we learn ho...
Thomas Finley, Thorsten Joachims
EUROPAR
2007
Springer
15 years 10 months ago
Cooperation in Multi-organization Scheduling
The distributed nature of the grid results in the problem of scheduling parallel jobs produced by several independent organizations that have partial control over the system. We co...
Fanny Pascual, Krzysztof Rzadca, Denis Trystram
SODA
2008
ACM
135views Algorithms» more  SODA 2008»
15 years 6 months ago
Improved algorithms for orienteering and related problems
In this paper we consider the orienteering problem in undirected and directed graphs and obtain improved approximation algorithms. The point to point-orienteering-problem is the f...
Chandra Chekuri, Nitish Korula, Martin Pál
123
Voted
PODS
2006
ACM
107views Database» more  PODS 2006»
16 years 4 months ago
Programmable clustering
We initiate a novel study of clustering problems. Rather than specifying an explicit objective function to optimize, our framework allows the user of clustering algorithm to speci...
Sreenivas Gollapudi, Ravi Kumar, D. Sivakumar
ESA
2007
Springer
140views Algorithms» more  ESA 2007»
15 years 10 months ago
On Minimum Power Connectivity Problems
Given a (directed or undirected) graph with edge costs, the power of a node is the maximum cost of an edge leaving it, and the power of the graph is the sum of the powers of its n...
Yuval Lando, Zeev Nutov