dc.contributor.author | de Amorim, Renato Cordeiro | |
dc.date.accessioned | 2015-10-06T08:13:50Z | |
dc.date.available | 2015-10-06T08:13:50Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | de 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.citation | conference | |
dc.identifier.isbn | 978-0-7695-3369-8 | |
dc.identifier.isbn | 978-0-7695-3369-8 | |
dc.identifier.other | Bibtex: urn:e07bb4d086a09e16f897fcebd9d691c2 | |
dc.identifier.uri | http://hdl.handle.net/2299/16472 | |
dc.description.abstract | It 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 method | en |
dc.format.extent | 5 | |
dc.format.extent | 397685 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | Procs of the Second Int Conf on Advanced Engineering Computing and Applications in Sciences, 2008 | |
dc.title | Constrained Intelligent K-Means : Improving Results with Limited Previous Knowledge | en |
dc.contributor.institution | School of Computer Science | |
rioxxterms.versionofrecord | 10.1109/ADVCOMP.2008.30 | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |