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» Robust Bayesian clustering
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PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
11 years 9 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...
ICTAI
2008
IEEE
12 years 6 months ago
Knee Point Detection on Bayesian Information Criterion
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...
Qinpei Zhao, Mantao Xu, Pasi Fränti
NN
2007
Springer
11 years 11 months ago
Robust Bayesian clustering
Cédric Archambeau, Michel Verleysen
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
12 years 9 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
ACIVS
2008
Springer
12 years 6 months ago
Knee Point Detection in BIC for Detecting the Number of Clusters
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 ...
Qinpei Zhao, Ville Hautamäki, Pasi Fränt...
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