Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/1928
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dc.contributor.authorAlencar, Antonio Juarez Sylvio de Menezes de-
dc.contributor.authorCruz, Leôncio Teixeira-
dc.contributor.authorFerreira, Armando Leite-
dc.contributor.authorSchmitz, Eber Assis-
dc.contributor.authorLima, Priscila Machado Vieira-
dc.contributor.authorManso, Fernando Silva Pereira-
dc.date.accessioned2017-05-09T14:51:11Z-
dc.date.available2017-05-11T03:00:11Z-
dc.date.issued2005-12-31-
dc.identifier.citationALENCAR, A. J. et al. Cluster analysis with deolistic graphs. Rio de Janeiro: NCE/UFRJ, 2005. 17 p. (Relatório Técnico, 02/05)pt_BR
dc.identifier.urihttp://hdl.handle.net/11422/1928-
dc.description.abstractThis work introduces a particular family of acyclic graphs referred to as Deolistic graphs. The formal definition of a Deolistic graph is presented together with a new clustering algorithm that uses logical sentences to reveal hidden structures in data. The sentences yielded by the algorithm can be generated by automatic means, considerably reducing the complexity of data analysis and time spent on the clustering process, not to mention the usefulness of its results. Furthermore, these sentences are rules that can be easily understood, interpreted and disclosed to all interested parties, thereby improving communication and reducing misunderstandings.pt_BR
dc.languageengpt_BR
dc.relation.ispartofRelatório técnico NCEpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectAnálise de clusterspt_BR
dc.subjectGrafos deolisticospt_BR
dc.subjectSegmentaçãopt_BR
dc.titleCluster analysis with deolistic graphsen
dc.typeRelatóriopt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto Tércio Pacitti de Aplicações e Pesquisas Computacionaispt_BR
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOpt_BR
dc.citation.issue0205pt_BR
dc.embargo.termsabertopt_BR
Appears in Collections:Relatórios Técnicos e de Pesquisa

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