A study on feature selection based on AICc and its application to microarray data

Document typeMaster thesis (pre-Bologna period)
Date2009-06
Rights accessOpen Access
Abstract
The following paper contains a report of the nal project written at the
Faculty of Informatics (Facultat d'Inform atica de Barcelona) on Techni-
cal University of Catalonia (Universitat Polit ecnica de Catalunya) under
the supervision of professor Luis Belanche. The project provides R lan-
guage procedures, collected in a library, to select the best features, among
the given feature set within the data, to describe a classi er. The prin-
cipal criterion in such a selection process would be Akaike's information
criterion - AIC.
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pracamgr.pdf | 685,6Kb | View/Open | ||
AIC-report.pdf | 75,46Kb | View/Open |
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