670 search results - page 6 / 134 » Intractability and clustering with constraints |
KDD
2007
ACM
14 years 11 months ago
2007
ACM
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
IAT
2009
IEEE
14 years 5 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...
ICML
2000
IEEE
14 years 11 months ago
2000
IEEE
Clustering algorithms conduct a search through the space of possible organizations of a data set. In this paper, we propose two types of instance-level clustering constraints ? mu...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
In high dimensional data, the general performance of traditional clustering algorithms decreases. This is partly because the similarity criterion used by these algorithms becomes ...