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Cluster analysis using affinity aoefficient in order to identify religious beliefs profiles

dc.contributor.authorSousa, Áurea
dc.contributor.authorNicolau, Fernando C.
dc.contributor.authorBacelar-Nicolau, Helena
dc.contributor.authorSilva, Osvaldo
dc.date.accessioned2015-04-23T15:56:47Z
dc.date.available2015-04-23T15:56:47Z
dc.date.issued2014-02
dc.descriptionInternational Scientific Forum, ISF 2013, ISF 2013, 12-14 December 2013, Tirana.por
dc.description.abstractWe present an application of Ascendant Hierarchical Cluster Analysis (AHCA) to a dataset related to religion, in order to find a typology of religious beliefs profiles of individuals who live on São Miguel island (Azores) according to the frequency they go to the Mass. AHCA was based on the weighted generalized affinity coefficient for symbolic or complex data, and on classical and probabilistic aggregation criteria; the probabilistic ones belong to a parametric family of methods in the scope of the VL methodology. Additionally, we applied some validation measures (based on the values of the proximity matrix and adapted for the case of similarity measures) to evaluate the obtained results (clusters and partitions).en
dc.identifier.citationSousa, Áurea; Nicolau, Fernando C.; Bacelar-Nicolau, Helena; Silva, Osvaldo (2014). "Cluster Analysis using Affinity Coefficient in order to identify Religious Beliefs Profiles". European Scientific Journal (ESJ), February 2014 /Special/Edition (3), 252-261, ISSN: 1857-7881 (Print), 1857-7431 (Online).por
dc.identifier.issn1857-7881 (Print)
dc.identifier.issn1857-7431 (Online)
dc.identifier.urihttp://hdl.handle.net/10400.3/3412
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherEuropean Scientific Institute (www.eujournal.org)por
dc.relation.publisherversionhttp://eujournal.org/index.php/esj/article/viewFile/2943/2772por
dc.subjectCluster Analysisen
dc.subjectAffinity Coefficienten
dc.subjectVL Methodologyen
dc.subjectComplex Dataen
dc.subjectValidation Measuresen
dc.titleCluster analysis using affinity aoefficient in order to identify religious beliefs profilesen
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceEuropean Scientific Institute (www.eujournal.org)por
oaire.citation.endPage261por
oaire.citation.startPage252por
oaire.citation.titleEuropean Scientific Journal (ESJ)por
oaire.citation.volume3por
rcaap.rightsopenAccesspor
rcaap.typearticlepor

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