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CBMS
2004
IEEE
13 years 9 months ago
Ensemble Clustering in Medical Diagnostics
Ensemble techniques have been successfully applied in the context of supervised learning to increase the accuracy and stability of classification. Recently, analogous techniques fo...
Derek Greene, Alexey Tsymbal, Nadia Bolshakova, Pa...
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
13 years 11 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana
ICDM
2009
IEEE
110views Data Mining» more  ICDM 2009»
13 years 12 months ago
Projective Clustering Ensembles
Recent advances in data clustering concern clustering ensembles and projective clustering methods, each addressing different issues in clustering problems. In this paper, we consi...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
CIKM
2009
Springer
13 years 12 months ago
Fragment-based clustering ensembles
Clustering ensembles combine different clustering solutions into a single robust and stable one. Most of existing methods become highly time-consuming when the data size turns to ...
Ou Wu, Mingliang Zhu, Weiming Hu
SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
12 years 8 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...