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dc.contributorBelanche Muñoz, Luis Antonio
dc.contributor.authorWesolowska, Malgorzata
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.date.accessioned2009-11-19T15:38:09Z
dc.date.available2009-11-19T15:38:09Z
dc.date.issued2009-06
dc.identifier.urihttp://hdl.handle.net/2099.1/7863
dc.description.abstractThe 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.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject.lcshData analysis
dc.subject.otherAIC criterion
dc.subject.otherFeature selection
dc.subject.otherCorrelation
dc.subject.otherRelevance
dc.titleA study on feature selection based on AICc and its application to microarray data
dc.typeMaster thesis (pre-Bologna period)
dc.subject.lemacAnàlisi de dades
dc.rights.accessOpen Access
dc.audience.educationlevelEstudis de primer/segon cicle
dc.audience.mediatorFacultat d'Informàtica de Barcelona


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain