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BMCBI
2008
142views more  BMCBI 2008»
13 years 10 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
SYRCODIS
2008
136views Database» more  SYRCODIS 2008»
13 years 11 months ago
Stochastic Approach to Binary Matrix Partitioning for Phylogenetic Networks
In this research we introduce the problem of the binary matrix partitioning in a biological context. Our idea is to use SNP matrix to construct a set of phylogenetic networks to r...
Victoria Kusherbaeva, Nikolay Vyahhi
CCGRID
2003
IEEE
14 years 3 months ago
The Performance of Processor Co-Allocation in Multicluster Systems
In systems consisting of multiple clusters of processors which are interconnected by relatively slow communication links and which employ space sharing for scheduling jobs, such a...
Anca I. D. Bucur, Dick H. J. Epema
WAIM
2007
Springer
14 years 4 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
CVPR
2005
IEEE
15 years 3 days ago
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
Kai Zhang, Ming Tang, James T. Kwok