38 search results - page 4 / 8 » Hypergraph Based Clustering in High-Dimensional Data Sets: A... |
CEC
2005
IEEE
14 years 2 months ago
2005
IEEE
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
BMCBI
2006
13 years 8 months ago
2006
Background: Cluster analysis is an integral part of high dimensional data analysis. In the context of large scale gene expression data, a filtered set of genes are grouped togethe...
MLDM
2005
Springer
14 years 2 months ago
2005
Springer
Subspace clustering is an extension of traditional clustering that seeks to find clusters in different subspaces within a dataset. This is a particularly important challenge with...
CIKM
2008
Springer
13 years 10 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
IIS
2003
13 years 10 months ago
2003
Text clustering typically involves clustering in a high dimensional space, which appears difficult with regard to virtually all practical settings. In addition, given a particular...