Sciweavers

Share
413 search results - page 1 / 83
» Bayesian Cluster Ensembles
Sort
View
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
10 years 4 months ago
Bayesian Cluster Ensembles.
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...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
9 years 4 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...
SDM
2011
SIAM
183views Data Mining» more  SDM 2011»
8 years 9 months ago
Nonparametric Bayesian Co-clustering Ensembles
A nonparametric Bayesian approach to co-clustering ensembles is presented. Similar to clustering ensembles, coclustering ensembles combine various base co-clustering results to ob...
Pu Wang, Kathryn B. Laskey, Carlotta Domeniconi, M...
SADM
2011
9 years 1 months ago
Bayesian cluster ensembles
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
SDM
2004
SIAM
218views Data Mining» more  SDM 2004»
9 years 8 months ago
Mixture Density Mercer Kernels: A Method to Learn Kernels Directly from Data
This paper presents a method of generating Mercer Kernels from an ensemble of probabilistic mixture models, where each mixture model is generated from a Bayesian mixture density e...
Ashok N. Srivastava
books