27 search results - page 1 / 6 » Combining Multiple Clusterings by Soft Correspondence |
ICDM
2005
IEEE
13 years 9 months ago
2005
IEEE
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
PKDD
2004
Springer
13 years 9 months ago
2004
Springer
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
ICDM
2003
IEEE
13 years 9 months ago
2003
IEEE
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
CVPR
2000
IEEE
13 years 8 months ago
2000
IEEE
We present a novel approach for learning patterns (sub-images) shared by multiple images without prior knowledge about the number and the positions of the patterns in the images. ...
MLMTA
2007
13 years 5 months ago
2007
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...