1022 search results - page 79 / 205 » Adaptive Clustering Ensembles |
136
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PR
2007
15 years 4 months ago
2007
In this paper, an evolutionary clustering technique is described that uses a new point symmetry-based distance measure. The algorithm is therefore able to detect both convex and n...
131
Voted
COLT
2010
Springer
15 years 2 months ago
2010
Springer
One of the most widely used techniques for data clustering is agglomerative clustering. Such algorithms have been long used across many different fields ranging from computational...
135
Voted
DIS
2009
Springer
15 years 11 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
146
Voted
CCGRID
2003
IEEE
15 years 9 months ago
2003
IEEE
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that customers can adapt the cluster configuration to the changing technologies and t...
157
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CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate them into traditional clustering methods, such as ...