1420 search results - page 8 / 284 » Cluster Ensemble Selection |
108
Voted
CIDM
2009
IEEE
15 years 7 months ago
2009
IEEE
— Both theory and a wealth of empirical studies have established that ensembles are more accurate than single predictive models. Unfortunately, the problem of how to maximize ens...
123
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APBC
2004
15 years 1 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
Most works based on diversity suggest that there exists only weak correlation between diversity and ensemble accuracy. We show that by combining the diversities with the classifica...
CIBB
2008
15 years 2 months ago
2008
Abstract. Stability is an important property of machine learning algorithms. Stability in clustering may be related to clustering quality or ensemble diversity, and therefore used ...
86
Voted
KDD
2010
ACM
15 years 4 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...