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BMCBI
2008
142views more  BMCBI 2008»
14 years 9 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
CGF
2010
218views more  CGF 2010»
14 years 9 months ago
Mesh Snapping: Robust Interactive Mesh Cutting Using Fast Geodesic Curvature Flow
This paper considers the problem of interactively finding the cutting contour to extract components from a given mesh. Some existing methods support cuts of arbitrary shape but re...
Juyong Zhang, Chunlin Wu, Jianfei Cai, Jianmin Zhe...
COR
2010
123views more  COR 2010»
14 years 9 months ago
Decomposition, reformulation, and diving in university course timetabling
In many real-life optimisation problems, there are multiple interacting components in a solution. For example, different components might specify assignments to different kinds of...
Edmund K. Burke, Jakub Marecek, Andrew J. Parkes, ...
CORR
2010
Springer
170views Education» more  CORR 2010»
14 years 9 months ago
Slow Adaptive OFDMA Systems Through Chance Constrained Programming
Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wire...
William Weiliang Li, Ying Jun Zhang, Anthony Man-C...
CORR
2010
Springer
92views Education» more  CORR 2010»
14 years 9 months ago
Parameterizing by the Number of Numbers
The usefulness of parameterized algorithmics has often depended on what Niedermeier has called, "the art of problem parameterization." In this paper we introduce and expl...
Michael R. Fellows, Serge Gaspers, Frances A. Rosa...