1241 search results - page 1 / 249 » Robust Bayesian clustering |
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...
ICTAI
2008
IEEE
13 years 11 months ago
2008
IEEE
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
NN
2007
Springer
13 years 4 months ago
2007
Springer
SDM
2009
SIAM
14 years 2 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...
ACIVS
2008
Springer
13 years 11 months ago
2008
Springer
Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum ...