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ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
14 years 1 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
CBMS
2004
IEEE
13 years 11 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...
ICPR
2004
IEEE
14 years 8 months ago
Adaptive Clustering Ensembles
Alexander P. Topchy, Behrouz Minaei-Bidgoli, Anil ...
ICML
2003
IEEE
14 years 8 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...