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Feature selection method based on correlation measureand relevance and redundancy analysis. Use in conjunction with an attribute set evaluator (SymmetricalUncertAttributeEval). For more information see: Lei Yu, Huan Liu: Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. In: Proceedings of the Twentieth International Conference on Machine Learning, 856-863, 2003.
Files of the artifact fastCorrBasedFS version 1.0.2 from the group nz.ac.waikato.cms.weka.
Artifact fastCorrBasedFS
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: measureand 2003 data conjunction attribute symmetricaluncertattributeeval analysis solution huan more relevance feature conference evaluator information with dimensional international correlation learning machine selection redundancy twentieth proceedings method high fast filter based
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/fastCorrBasedFS
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
Group nz.ac.waikato.cms.weka
Version 1.0.2
Last update 26. April 2012
Tags: measureand 2003 data conjunction attribute symmetricaluncertattributeeval analysis solution huan more relevance feature conference evaluator information with dimensional international correlation learning machine selection redundancy twentieth proceedings method high fast filter based
Organization University of Waikato, Hamilton, NZ
URL http://weka.sourceforge.net/doc.packages/fastCorrBasedFS
License GNU General Public License 3
Dependencies amount 1
Dependencies weka-dev,
There are maybe transitive dependencies!
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