12 search results - page 2 / 3 » A Comparison of Resampling Methods for 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...
PAKDD
2007
ACM
13 years 10 months ago
2007
ACM
The co-association (CA) matrix was previously introduced to combine multiple partitions. In this paper, we analyze the CA matrix, and address its difference from the similarity ma...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
A critical problem in cluster ensemble research is how to combine multiple clusterings to yield a final superior clustering result. Leveraging advanced graph partitioning techniqu...
HAIS
2011
Springer
12 years 7 months ago
2011
Springer
One of the main problems that modern e-mail systems face is the management of the high degree of spam or junk mail they recieve. Those systems are expected to be able to distinguis...
KDD
2005
ACM
13 years 9 months ago
2005
ACM
Data clustering represents an important tool in exploratory data analysis. The lack of objective criteria render model selection as well as the identification of robust solutions...