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Identifying Special Structures in Interval-Data via Model-Base Clustering

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dc.contributor.authorBrito, Paula
dc.contributor.authorDuarte Silva, A. P.
dc.contributor.authorDias, José G.
dc.date.accessioned2016-12-19T16:12:41Z
dc.date.available2016-12-19T16:12:41Z
dc.date.issued2013
dc.description.abstractIn this paper we present a model-based approach to the clustering of interval data building on recently proposed parametric models. These methods consider configurations for the variance-covariance matrix that take the nature of the interval data directly into account. The proposed framework relies on parametrizations considering the inherent variability of the relevant data units and the relation that may exist between this variability and the corresponding value levels. Using both synthetic and real data sets the pertinence of the proposed methodology is shown, as the method effectively selects heterocedastic models with restricted covariance structures when they are the most suitable, even in situations with limited information. Moreover, considering special configurations of the variance-covariance matrix, adapted to nature of interval data, proves to be the adequate approach. The presented study also makes clear the need to consider both the information about position (conveyed by the MidPoints) and intrinsic variability (conveyed by the Log-Ranges) when analysing interval data.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBRITO, Paula; DUARTE SILVA, A.P.; DIAS, José G.- Identifying Special Structures in Interval-Data via Model-Base Clustering. In 59th ISI World Statistics Congress, Hong Kong, China, 20-30 August, 2013. - In Proceedings 59th ISI World Statistics Congress, Netherlands: International Statistical Institute, 2013. ISBN 978-90-73592-34-6. p. 3899-3904pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.14/21088
dc.language.isoengpt_PT
dc.relationFCOMP-01-0124-FEDER-022701pt_PT
dc.relationStrategic Project - UI 731 - 2011-2012
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectClusterpt_PT
dc.subjectIinite mixture modelspt_PT
dc.subjectinterval-valued variablept_PT
dc.subjectIntrinsic variabilitypt_PT
dc.subjectSymbolic datapt_PT
dc.titleIdentifying Special Structures in Interval-Data via Model-Base Clusteringpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleStrategic Project - UI 731 - 2011-2012
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/PEst-OE%2FEGE%2FUI0731%2F2011/PT
oaire.fundingStream6817 - DCRRNI ID
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isProjectOfPublicationd1ff3892-c183-4fec-a8ad-4e25cbc6ebe6
relation.isProjectOfPublication.latestForDiscoveryd1ff3892-c183-4fec-a8ad-4e25cbc6ebe6

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