325 search results - page 2 / 65 » On Clusterings - Good, Bad and Spectral |
PAKDD
2009
ACM
14 years 2 months ago
2009
ACM
Spectral clustering refers to a flexible class of clustering procedures that can produce high-quality clusterings on small data sets but which has limited applicability to large-...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper proposed a novel video shot clustering algorithm using spectral method by joint modeling of inter and intra shot. Gauss Mixture Model (GMM) is used for probabilistic sp...
ESANN
2007
13 years 6 months ago
2007
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
NIPS
2004
13 years 6 months ago
2004
An important aspect of clustering algorithms is whether the partitions constructed on finite samples converge to a useful clustering of the whole data space as the sample size inc...
CCGRID
2008
IEEE
13 years 11 months ago
2008
IEEE
—Accurate fault detection is a key element of resilient computing. Syslogs provide key information regarding faults, and are found on nearly all computing systems. Discovering ne...