255 search results - page 21 / 51 » Data Clustering with a Relational Push-Pull Model |
NIPS
2003
14 years 11 months ago
2003
Clustering aims at extracting hidden structure in dataset. While the problem of finding compact clusters has been widely studied in the literature, extracting arbitrarily formed ...
CANDC
2004
ACM
14 years 9 months ago
2004
ACM
Genomic analyses on part of Escherichia coli's chromosome had suggested the existence of a GATC regulated network. This has recently been confirmed through a transcriptome an...
110
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BMCBI
2011
14 years 1 months ago
2011
Background: Graphical models of network associations are useful for both visualizing and integrating multiple types of association data. Identifying modules, or groups of function...
ISAAC
2009
Springer
15 years 4 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
163
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...