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» Approximation algorithms for projective clustering
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CSE
2012
IEEE
12 years 4 months ago
Accelerating Quantum Monte Carlo Simulations of Real Materials on GPU Clusters
—Continuum quantum Monte Carlo (QMC) has proved to be an invaluable tool for predicting the properties of matter from fundamental principles. By solving the manybody Schr¨odinge...
Kenneth Esler, Jeongnim Kim, David M. Ceperley, Lu...
VTC
2007
IEEE
14 years 2 months ago
Decision Directed Channel Estimation Employing Projection Approximation Subspace Tracking
— The attainable capacity and integrity of a state-of-the-art broadband multi-carrier communication system is highly sensitive to the accuracy of the information available concer...
Jos Akhtman, Lajos Hanzo
ALENEX
2008
142views Algorithms» more  ALENEX 2008»
13 years 10 months ago
Consensus Clustering Algorithms: Comparison and Refinement
Consensus clustering is the problem of reconciling clustering information about the same data set coming from different sources or from different runs of the same algorithm. Cast ...
Andrey Goder, Vladimir Filkov
COCOON
2005
Springer
14 years 2 months ago
Algorithmic and Complexity Issues of Three Clustering Methods in Microarray Data Analysis
The complexity, approximation and algorithmic issues of several clustering problems are studied. These non-traditional clustering problems arise from recent studies in microarray ...
Jinsong Tan, Kok Seng Chua, Louxin Zhang
JCSS
2002
199views more  JCSS 2002»
13 years 8 months ago
A Constant-Factor Approximation Algorithm for the k-Median Problem
We present the first constant-factor approximation algorithm for the metric k-median problem. The k-median problem is one of the most well-studied clustering problems, i.e., those...
Moses Charikar, Sudipto Guha, Éva Tardos, D...