1301 search results - page 45 / 261 » Default Clustering from Sparse Data Sets |
JBI
2004
13 years 10 months ago
2004
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus s...
SDM
2008
SIAM
13 years 10 months ago
2008
SIAM
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
FOCS
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— Thorup and Zwick, in their seminal work, introduced the approximate distance oracle, which is a data structure that answers distance queries in a graph. For any integer...
IPPS
2005
IEEE
14 years 2 months ago
2005
IEEE
Sparse and irregular computations constitute a large fraction of applications in the data-intensive scientific domain. While every effort is made to balance the computational wor...
GCB
2003
Springer
14 years 1 months ago
2003
Springer
Clustering of EST data is a method for the non-redundant representation of an organisms transcriptome. During clustering of large amounts of EST data, usually some large clusters ...