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» Approximation Algorithms for Clustering Problems
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FOCS
2000
IEEE
15 years 8 months ago
Approximating the single source unsplittable min-cost flow problem
Abstract. In the single source unsplittable min-cost flow problem, commodities must be routed simultaneously from a common source vertex to certain destination vertices in a given ...
Martin Skutella
KDD
2009
ACM
188views Data Mining» more  KDD 2009»
16 years 5 months ago
Mining discrete patterns via binary matrix factorization
Mining discrete patterns in binary data is important for subsampling, compression, and clustering. We consider rankone binary matrix approximations that identify the dominant patt...
Bao-Hong Shen, Shuiwang Ji, Jieping Ye
CIARP
2008
Springer
15 years 6 months ago
Cluster Stability Assessment Based on Theoretic Information Measures
Abstract. Cluster validation to determine the right number of clusters is an important issue in clustering processes. In this work, a strategy to address the problem of cluster val...
Damaris Pascual, Filiberto Pla, José Salvad...
ISAAC
2005
Springer
81views Algorithms» more  ISAAC 2005»
15 years 10 months ago
Complexity and Approximation of the Minimum Recombination Haplotype Configuration Problem
We study the complexity and approximation of the problem of reconstructing haplotypes from genotypes on pedigrees under the Mendelian Law of Inheritance and the minimum recombinant...
Lan Liu, Xi Chen, Jing Xiao, Tao Jiang
NIPS
2007
15 years 6 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong