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dc.contributor.authorDale, MB
dc.contributor.authorDale, PER
dc.contributor.authorTan, P
dc.date.accessioned2017-05-03T13:01:46Z
dc.date.available2017-05-03T13:01:46Z
dc.date.issued2007
dc.date.modified2009-08-19T06:05:22Z
dc.identifier.issn0304-3800
dc.identifier.doi10.1016/j.ecolmodel.2006.12.021
dc.identifier.urihttp://hdl.handle.net/10072/16523
dc.description.abstractn this paper, we outline some of the problems in computer learning, particularly with respect to decision trees. We then consider how, in some cases, a decision graph may provide a solution to some of these problems. We compare a decision graph analysis with a decision tree analysis of salt marsh data, predicting predetermined vegetation types from environmental properties. All analyses use a minimum message length criterion to select an optimal model within a class, thereby avoiding subjective decisions. Minimum message length also provides a criterion for choosing between the model classes of tree and graph. In addition to the computational evaluation of models, we examine the ecological implications of the selected solutions. Even if sub-optimal, it is possible that a result can contribute to understanding of the underlying real system.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeNetherlands
dc.publisher.urihttp://www.elsevier.com/locate/ecolmodel
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom70
dc.relation.ispartofpageto78
dc.relation.ispartofissue1-2
dc.relation.ispartofjournalEcological Modelling
dc.relation.ispartofvolume204
dc.rights.retentionY
dc.subject.fieldofresearchMulti-Disciplinary
dc.subject.fieldofresearchcode270799
dc.subject.fieldofresearchcode999999
dc.titleSupervised clustering using decision trees and decision graphs: An ecological comparison.
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Environment
gro.rights.copyright© 2007 Elsevier. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2007
gro.hasfulltextNo Full Text
gro.griffith.authorDale, Patricia E.


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