The effect of data standardization in cluster analysis

dc.contributor.authorNOGUEIRA, ANDRÉ L.pt_BR
dc.contributor.authorMUNITA, CASIMIRO S.pt_BR
dc.coverageInternacionalpt_BR
dc.creator.eventoINTERNATIONAL NUCLEAR ATLANTIC CONFERENCEpt_BR
dc.date.accessioned2019-11-27T17:49:09Z
dc.date.available2019-11-27T17:49:09Z
dc.date.eventoOctober 21-25, 2019pt_BR
dc.description.abstractThe application of multivariate techniques to experimental results requires a responsibility on behalf of the researcher to understand, evaluate and interpret their results, especially the ones that are more complex. In this work, the impact of three standardization techniques on the formation of clusters by the SOM (self-organizing map) neural network were studied. The techniques studied were logarithm (log10), generalized-log and improved min-max. The studies were performed using two databases consisting of 298 and 146 samples and containing the mass fractions of As, Na, K, La, Yb, Lu, U, Sc, Cr, Fe, Cs, Eu, Tn, Hf and Th, determined by neutron activation analysis. The results were evaluated using validation indices.pt_BR
dc.event.siglaINACpt_BR
dc.format.extent321-329pt_BR
dc.identifier.citationNOGUEIRA, ANDRÉ L.; MUNITA, CASIMIRO S. The effect of data standardization in cluster analysis. In: INTERNATIONAL NUCLEAR ATLANTIC CONFERENCE, October 21-25, 2019, Santos, SP. <b>Proceedings...</b> Rio de Janeiro: Associação Brasileira de Energia Nuclear, 2019. p. 321-329. Disponível em: http://repositorio.ipen.br/handle/123456789/30354.
dc.identifier.orcid0000-0003-0546-1044pt_BR
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/30354
dc.localRio de Janeiropt_BR
dc.local.eventoSantos, SPpt_BR
dc.publisherAssociação Brasileira de Energia Nuclear
dc.rightsopenAccesspt_BR
dc.subjectalgorithms
dc.subjectcluster analysis
dc.subjectcomputer codes
dc.subjectdata
dc.subjectmass
dc.subjectneural networks
dc.subjectneutron activation analysis
dc.subjectstandardization
dc.subjectstatistical models
dc.titleThe effect of data standardization in cluster analysispt_BR
dc.typeTexto completo de eventopt_BR
dspace.entity.typePublication
ipen.autorCASIMIRO JAYME ALFREDO SEPULVEDA MUNITA
ipen.codigoautor1325
ipen.contributor.ipenauthorCASIMIRO JAYME ALFREDO SEPULVEDA MUNITA
ipen.date.recebimento19-11
ipen.event.datapadronizada2019pt_BR
ipen.identifier.ipendoc26140pt_BR
ipen.notas.internasProceedingspt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublication9f2b42a5-30f7-4805-96a1-1cde2b1a405b
relation.isAuthorOfPublication.latestForDiscovery9f2b42a5-30f7-4805-96a1-1cde2b1a405b
sigepi.autor.atividadeMUNITA, CASIMIRO S.:1325:320:Npt_BR
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