60 search results - page 1 / 12 » Semisupervised Clustering with Metric Learning using Relativ... |
TKDE
2008
13 years 4 months ago
2008
Semisupervised clustering algorithms partition a given data set using limited supervision from the user. The success of these algorithms depends on the type of supervision and also...
PR
2010
13 years 2 months ago
2010
Most existing representative works in semi-supervised clustering do not sufficiently solve the violation problem of pairwise constraints. On the other hand, traditional kernel met...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
PR
2006
13 years 4 months ago
2006
Many computer vision and pattern recognition algorithms are very sensitive to the choice of an appropriate distance metric. Some recent research sought to address a variant of the...