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dc.contributor.authorGonzález Pellicer, Edgar
dc.contributor.authorTurmo Borras, Jorge
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.identifier.citationGonzález, E.; Turmo, J. Comparing non-parametric ensemble methods for document clustering. A: International Conference on Applications of Natural Language to Information Systems. "International Conference on Applications of Natural Language to Information Systems". Londres: Springer Verlag, 2008, p. 245-256.
dc.description.abstractThe biases of individual algorithms for non-parametric document clustering can lead to non-optimal solutions. Ensemble clustering methods may overcome this limitation, but have not been applied to document collections. This paper presents a comparison of strategies for non-parametric document ensemble clustering.
dc.format.extent12 p.
dc.publisherSpringer Verlag
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la parla i del senyal acústic
dc.subject.lcshNatural language processing (Computer science)
dc.subject.lcshInformation systems
dc.titleComparing non-parametric ensemble methods for document clustering
dc.typeConference report
dc.subject.lemacLlenguatge natural (Informàtica) -- Processament
dc.subject.lemacSistemes d'informació
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.description.peerreviewedPeer Reviewed
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorGonzález, E.; Turmo, J.
local.citation.contributorInternational Conference on Applications of Natural Language to Information Systems
local.citation.publicationNameInternational Conference on Applications of Natural Language to Information Systems

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