38 search results - page 3 / 8 » Hypergraph Based Clustering in High-Dimensional Data Sets: A... |
ICDM
2003
IEEE
14 years 1 months ago
2003
IEEE
We explore in this paper the efficient clustering of item data. Different from those of the traditional data, the features of item data are known to be of high dimensionality and...
ICPP
2000
IEEE
14 years 29 days ago
2000
IEEE
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
WAIM
2007
Springer
14 years 2 months ago
2007
Springer
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
BMCBI
2008
13 years 8 months ago
2008
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
BMCBI
2010
13 years 8 months ago
2010
Background: Data generated using `omics' technologies are characterized by high dimensionality, where the number of features measured per subject vastly exceeds the number of...