Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/8899
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Brito, P. | - |
dc.contributor.author | Silva, A. P. D. | - |
dc.contributor.author | Dias, J. G. | - |
dc.date.accessioned | 2015-05-08T14:54:50Z | - |
dc.date.available | 2015-05-08T14:54:50Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 1088-467X | - |
dc.identifier.uri | http://hdl.handle.net/10071/8899 | - |
dc.description.abstract | In this paper we address the problem of clustering interval data, adopting a model-based approach. To this purpose, parametric models for interval-valued variables are used which consider configurations for the variance-covariance matrix that take the nature of the interval data directly into account. Results, both on synthetic and empirical data, clearly show the well-founding of the proposed approach. The method succeeds in finding parsimonious heterocedastic models which is a critical feature in many applications. Furthermore, the analysis of the different data sets made clear the need to explicitly consider the intrinsic variability present in interval data. | eng |
dc.language.iso | eng | - |
dc.publisher | IOS Press | - |
dc.relation | PTDC/EGE-GES/103223/2008 | - |
dc.relation | PEst-OE/EGE/UI0731/2011 | - |
dc.relation | NORTE-07-0124-FEDER-000059 | - |
dc.relation | UID/GES/00315/2013 | - |
dc.rights | openAccess | en_US |
dc.subject | Clustering methods | eng |
dc.subject | Finite mixture models | eng |
dc.subject | Interval-valued variable | eng |
dc.subject | Intrinsic variability | eng |
dc.subject | Symbolic data | eng |
dc.title | Probabilistic clustering of interval data | eng |
dc.type | article | - |
dc.pagination | 293 - 313 | - |
dc.peerreviewed | yes | - |
dc.journal | Intelligent Data Analysis | - |
dc.volume | 19 | - |
dc.number | 2 | - |
degois.publication.firstPage | 293 | - |
degois.publication.lastPage | 313 | - |
degois.publication.issue | 2 | - |
degois.publication.title | Probabilistic clustering of interval data | eng |
dc.date.updated | 2019-05-02T10:39:10Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.3233/IDA-150718 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-14299 | - |
iscte.alternateIdentifiers.wos | WOS:000353062400006 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-84928572252 | - |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Dias 2014 Intelligent Data Analysis.pdf | Pós-print | 596,09 kB | Adobe PDF | Ver/Abrir |
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