603 search results - page 4 / 121 » Advances in constrained clustering |
BMVC
1998
13 years 10 months ago
1998
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
ICDM
2007
IEEE
14 years 2 months ago
2007
IEEE
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
IAT
2009
IEEE
14 years 3 months ago
2009
IEEE
—This paper proposes a method of learning a similarity matrix from pairwise constraints for interactive clustering. The similarity matrix can be learned by solving an optimizatio...
SDM
2004
SIAM
13 years 10 months ago
2004
SIAM
Semi-supervised clustering uses a small amount of supervised data to aid unsupervised learning. One typical approach specifies a limited number of must-link and cannotlink constra...
GRID
2006
Springer
13 years 8 months ago
2006
Springer
Although grid computing offers great potential for executing large-scale bioinformatics applications, practical deployment is constrained by legacy interfaces. Most widely deployed...