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» Approximation Algorithms for Clustering Problems
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ICALP
2011
Springer
14 years 3 months ago
Clique Clustering Yields a PTAS for max-Coloring Interval Graphs
We are given an interval graph G = (V, E) where each interval I ∈ V has a weight wI ∈ R+. The goal is to color the intervals V with an arbitrary number of color classes C1, C2...
Tim Nonner
SODA
1998
ACM
106views Algorithms» more  SODA 1998»
15 years 1 months ago
Greedy Strikes Back: Improved Facility Location Algorithms
A fundamental facility location problem is to choose the location of facilities, such as industrial plants and warehouses, to minimize the cost of satisfying the demand for some c...
Sudipto Guha, Samir Khuller
SODA
2010
ACM
149views Algorithms» more  SODA 2010»
15 years 9 months ago
Sharp kernel clustering algorithms and their associated Grothendieck inequalities
abstract Subhash Khot Assaf Naor In the kernel clustering problem we are given a (large) n ? n symmetric positive semidefinite matrix A = (aij) with n i=1 n j=1 aij = 0 and a (sma...
Subhash Khot, Assaf Naor
CEC
2008
IEEE
15 years 6 months ago
Correlation clustering based on genetic algorithm for documents clustering
—Correlation clustering problem is a NP hard problem and technologies for the solving of correlation clustering problem can be used to cluster given data set with relation matrix...
Zhenya Zhang, Hongmei Cheng, Wanli Chen, Shuguang ...
116
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COCO
2010
Springer
180views Algorithms» more  COCO 2010»
15 years 3 months ago
Completely Inapproximable Monotone and Antimonotone Parameterized Problems
We prove that weighted monotone/antimonotone circuit satisfiability has no fixed-parameter tractable approximation algorithm with any approximation ratio function ρ, unless FPT...
Dániel Marx