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» Approximation Algorithms for Clustering Problems
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IPL
2006
151views more  IPL 2006»
15 years 4 months ago
Approximating weighted matchings in parallel
We present an NC approximation algorithm for the weighted matching problem in graphs with an approximation ratio of (1 - ). This improves the previously best approximation ratio of...
Stefan Hougardy, Doratha E. Drake Vinkemeier
IPL
2007
81views more  IPL 2007»
15 years 4 months ago
Linear-time algorithms for problems on planar graphs with fixed disk dimension
The disk dimension of a planar graph G is the least number k for which G embeds in the plane minus k open disks, with every vertex on the boundary of some disk. Useful properties ...
Faisal N. Abu-Khzam, Michael A. Langston
134
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TKDE
2008
197views more  TKDE 2008»
15 years 4 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
130
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STOC
2005
ACM
111views Algorithms» more  STOC 2005»
16 years 4 months ago
Tensor decomposition and approximation schemes for constraint satisfaction problems
Wenceslas Fernandez de la Vega, Marek Karpinski, R...
MOBIHOC
2002
ACM
16 years 4 months ago
Approximating minimum size weakly-connected dominating sets for clustering mobile ad hoc networks
We present a series of approximation algorithms for finding a small weakly-connected dominating set (WCDS) in a given graph to be used in clustering mobile ad hoc networks. The st...
Yuanzhu Peter Chen, Arthur L. Liestman