125 search results - page 1 / 25 » Fragment-based clustering ensembles |
PKDD
2010
Springer
13 years 2 months ago
2010
Springer
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
GECCO
2008
Springer
13 years 5 months ago
2008
Springer
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
ICDM
2010
IEEE
13 years 2 months ago
2010
IEEE
Ensemble clustering has emerged as an important elaboration of the classical clustering problems. Ensemble clustering refers to the situation in which a number of different (input)...
SDM
2009
SIAM
14 years 1 months ago
2009
SIAM
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...