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» Cluster Ensemble Selection
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94
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ESANN
2007
15 years 2 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
109
Voted
BMCBI
2010
109views more  BMCBI 2010»
15 years 20 days ago
Structural alphabets derived from attractors in conformational space
Background: The hierarchical and partially redundant nature of protein structures justifies the definition of frequently occurring conformations of short fragments as `states'...
Alessandro Pandini, Arianna Fornili, Jens Kleinjun...
99
Voted
ICDM
2005
IEEE
138views Data Mining» more  ICDM 2005»
15 years 6 months ago
On Feature Selection through Clustering
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
Richard Butterworth, Gregory Piatetsky-Shapiro, Da...
149
Voted
KDD
2012
ACM
247views Data Mining» more  KDD 2012»
13 years 3 months ago
Integrating meta-path selection with user-guided object clustering in heterogeneous information networks
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
Yizhou Sun, Brandon Norick, Jiawei Han, Xifeng Yan...
95
Voted
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 7 months ago
Rule Ensembles for Multi-target Regression
—Methods for learning decision rules are being successfully applied to many problem domains, especially where understanding and interpretation of the learned model is necessary. ...
Timo Aho, Bernard Zenko, Saso Dzeroski