Show simple item record

dc.contributor.authorde Amorim, Renato Cordeiro
dc.date.accessioned2015-10-06T08:13:50Z
dc.date.available2015-10-06T08:13:50Z
dc.date.issued2008
dc.identifier.citationde Amorim , R C 2008 , Constrained Intelligent K-Means : Improving Results with Limited Previous Knowledge . in Procs of the Second Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008 : ADVCOMP'08 . Institute of Electrical and Electronics Engineers (IEEE) , pp. 176-180 , Second Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008. ADVCOMP'08 , Valencia , Spain , 29/09/08 . https://doi.org/10.1109/ADVCOMP.2008.30
dc.identifier.citationconference
dc.identifier.isbn978-0-7695-3369-8
dc.identifier.isbn978-0-7695-3369-8
dc.identifier.otherPURE: 9256109
dc.identifier.otherPURE UUID: 5cde0a18-3238-4c6e-a874-07ea81b3d32a
dc.identifier.otherBibtex: urn:e07bb4d086a09e16f897fcebd9d691c2
dc.identifier.otherScopus: 67650104347
dc.identifier.urihttp://hdl.handle.net/2299/16472
dc.description.abstractIt is here presented a new method for clustering that uses very limited amount of labeled data, employees two pairwise rules, namely must link and cannot link and a single wise one, cannot cluster. It is demonstrated that the incorporation of these rules in the intelligent k-means algorithm may increase the accuracy of results, this is proven with experiments where the real number of clusters in the data is unknown to the methoden
dc.format.extent5
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofProcs of the Second Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008
dc.titleConstrained Intelligent K-Means : Improving Results with Limited Previous Knowledgeen
dc.contributor.institutionSchool of Computer Science
rioxxterms.versionSMUR
rioxxterms.versionofrecordhttps://doi.org/10.1109/ADVCOMP.2008.30
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record