1959 search results - page 45 / 392 » Multiple Kernel Clustering. |
CCGRID
2003
IEEE
14 years 1 months ago
2003
IEEE
As computing systems grow in complexity, the cluster and grid communities require more sophisticated tools to diagnose, debug and analyze such systems. We have developed a toolkit...
JMLR
2008
13 years 7 months ago
2008
Regularized kernel discriminant analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. Its performance depends on the selection of kernel...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
CSDA
2007
13 years 7 months ago
2007
Model-based clustering exploits finite mixture models for detecting group in a data set. It provides a sound statistical framework which can address some important issues, such as...