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» Approximation Algorithms for Clustering Problems
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ICPR
2008
IEEE
16 years 17 days ago
Clustering by evidence accumulation on affinity propagation
If there are more clusters than the ideal, each intrinsic cluster will be split into several subsets. Theoretically, this split can be arbitrary and neighboring data points have a ...
Xuqing Zhang, Fei Wu, Yueting Zhuang
SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
STOC
2009
ACM
120views Algorithms» more  STOC 2009»
16 years 6 months ago
A constant-factor approximation for stochastic Steiner forest
We consider the stochastic Steiner forest problem: suppose we were given a collection of Steiner forest instances, and were guaranteed that a random one of these instances would a...
Anupam Gupta, Amit Kumar
COR
2006
82views more  COR 2006»
15 years 6 months ago
Semidefinite programming based approaches to the break minimization problem
This paper considers the break minimization problem in sports timetabling. The problem is to find, under a given timetable of a round-robin tournament, a home-away assignment that...
Ryuhei Miyashiro, Tomomi Matsui
IPL
2008
95views more  IPL 2008»
15 years 6 months ago
The Generalized Maximum Coverage Problem
We define a new problem called the Generalized Maximum Coverage Problem (GMC). GMC is an extension of the Budgeted Maximum Coverage Problem, and it has important applications in w...
Reuven Cohen, Liran Katzir