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Cluster validation using information stability measures

dc.contributor.authorPascual, Damaris
dc.contributor.authorPla, Filiberto
dc.contributor.authorSánchez Garreta, Josep Salvador
dc.date.accessioned2012-10-22T11:17:38Z
dc.date.available2012-10-22T11:17:38Z
dc.date.issued2010
dc.identifierhttp://dx.doi.org/10.1016/j.patrec.2009.07.009
dc.identifier.citationPattern Recognition Letters, 31, 6, p. 454-461
dc.identifier.issn0167-8655
dc.identifier.urihttp://hdl.handle.net/10234/49408
dc.description.abstractIn this work, a novel technique to address the problem of cluster validation based on cluster stability properties is presented. The stability index here proposed is based on the variation on some information measures over the partitions generated by a given clustering model due to the variability in clustering solutions produced by different sample sets. © 2009 Elsevier B.V. All rights reserved.
dc.language.isoeng
dc.publisherElsevier
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/*
dc.subjectCluster validation
dc.subjectInformation theory
dc.subjectStability index
dc.titleCluster validation using information stability measures
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doihttp://dx.doi.org/10.1016/j.patrec.2009.07.009
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess


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