Publicação
Optimization clustering techniques on register unemployment data
| Resumo: | An important strategy for data classification consists in organising data points in clusters. The k-means is a traditional optimisation method applied to cluster data points. Using a labour market database, aiming the segmentation of this market taking into account the heterogeneity resulting from different unemployment characteristics observed along the Portuguese geographical space, we suggest the application of an alternative method based on the computation of the dominant eigenvalue of a matrix related with the distance among data points. This approach presents results consistent with the results obtained by the k-means. |
|---|---|
| Autores principais: | Balsa, Carlos |
| Outros Autores: | Nunes, Alcina; Barros, Elisa |
| Assunto: | Portuguese |
| Ano: | 2015 |
| País: | Portugal |
| Tipo de documento: | comunicação em conferência |
| Tipo de acesso: | acesso restrito |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867172976252682240 |
|---|---|
| author | Balsa, Carlos |
| author2 | Nunes, Alcina Barros, Elisa |
| author2_role | author author |
| author_facet | Balsa, Carlos Nunes, Alcina Barros, Elisa |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Balsa, Carlos\",\"Person.identifier.orcid\":\"0000-0003-2431-8665\"},{\"Person.name\":\"Nunes, Alcina\",\"Person.identifier.orcid\":\"0000-0003-4056-9747\"},{\"Person.name\":\"Barros, Elisa\",\"Person.identifier.orcid\":\"0000-0001-8515-695X\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Balsa, Carlos Nunes, Alcina Barros, Elisa |
| datacite.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-03-23T10:02:35Z |
| datacite.date.embargoed.fl_str_mv | 2018-03-23T10:02:35Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| datacite.subjects.subject.fl_str_mv | Portuguese |
| datacite.titles.title.fl_str_mv | Optimization clustering techniques on register unemployment data |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Balsa, Carlos Nunes, Alcina Barros, Elisa |
| dc.date.Accepted.fl_str_mv | 2015-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-03-23T10:02:35Z |
| dc.date.embargoed.fl_str_mv | 2018-03-23T10:02:35Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/16485 |
| dc.language.none.fl_str_mv | eng |
| dc.publisher.none.fl_str_mv | Springer International Publishing |
| dc.rights.cclincense.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_16ec |
| dc.subject.none.fl_str_mv | Portuguese |
| dc.title.fl_str_mv | Optimization clustering techniques on register unemployment data |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_5794 |
| description | An important strategy for data classification consists in organising data points in clusters. The k-means is a traditional optimisation method applied to cluster data points. Using a labour market database, aiming the segmentation of this market taking into account the heterogeneity resulting from different unemployment characteristics observed along the Portuguese geographical space, we suggest the application of an alternative method based on the computation of the dominant eigenvalue of a matrix related with the distance among data points. This approach presents results consistent with the results obtained by the k-means. |
| dirty | 0 |
| eu_rights_str_mv | restrictedAccess |
| format | conferencePaper |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/101a88d9-08bd-4593-9c38-c0acd0dd6a13/download |
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| identifier.url.fl_str_mv | http://hdl.handle.net/10198/16485 |
| instacron_str | ipb |
| institution | Instituto Politécnico de Bragança |
| instname_str | Instituto Politécnico de Bragança |
| language | eng |
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| network_name_str | Biblioteca Digital do IPB |
| oai_identifier_str | oai:bibliotecadigital.ipb.pt:10198/16485 |
| organization_str_mv | urn:organizationAcronym:ipb |
| person_str_mv | Balsa, Carlos Balsa, Carlos https://www.ciencia-id.pt/DE1E-2F7A-AAB1 DE1E-2F7A-AAB1 http://orcid.org/0000-0003-2431-8665 0000-0003-2431-8665 Nunes, Alcina Nunes, Alcina https://www.ciencia-id.pt/1111-680F-0CAF 1111-680F-0CAF http://orcid.org/0000-0003-4056-9747 0000-0003-4056-9747 Barros, Elisa Barros, Elisa http://orcid.org/0000-0001-8515-695X 0000-0001-8515-695X |
| publishDate | 2015 |
| publisher.none.fl_str_mv | Springer International Publishing |
| reponame_str | Biblioteca Digital do IPB |
| repository_id_str | urn:repositoryAcronym:ipb |
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| spelling | engSpringer International Publishingpt_PTAn important strategy for data classification consists in organising data points in clusters. The k-means is a traditional optimisation method applied to cluster data points. Using a labour market database, aiming the segmentation of this market taking into account the heterogeneity resulting from different unemployment characteristics observed along the Portuguese geographical space, we suggest the application of an alternative method based on the computation of the dominant eigenvalue of a matrix related with the distance among data points. This approach presents results consistent with the results obtained by the k-means.application/pdfpt_PTOptimization clustering techniques on register unemployment dataPersonalBalsa, CarlosDSpacehttp://dspace.org/items/d0e5ccff-9696-4f4f-9567-8d698a6bf17dDSpacehttp://dspace.org/items/d0e5ccff-9696-4f4f-9567-8d698a6bf17dBalsaCarlosCiência IDhttps://www.ciencia-id.ptDE1E-2F7A-AAB1ORCIDhttp://orcid.org0000-0003-2431-8665Researcher IDhttps://www.researcherid.comM-8735-2013Scopus Author IDhttps://www.scopus.com23391719100PersonalNunes, AlcinaDSpacehttp://dspace.org/items/f96c3560-c1d3-432c-aa84-49982ea86106DSpacehttp://dspace.org/items/f96c3560-c1d3-432c-aa84-49982ea86106NunesAlcinaCiência IDhttps://www.ciencia-id.pt1111-680F-0CAFORCIDhttp://orcid.org0000-0003-4056-9747Researcher IDhttps://www.researcherid.comM-8259-2013Scopus Author IDhttps://www.scopus.com55907654000PersonalBarros, ElisaDSpacehttp://dspace.org/items/29601d32-5c12-4b5f-84ec-55d83617d04eDSpacehttp://dspace.org/items/29601d32-5c12-4b5f-84ec-55d83617d04eBarrosElisaORCIDhttp://orcid.org0000-0001-8515-695XHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-3-319-20327-0DOIIsPartOf10.1007/978-3-319-20328-7_22018-03-23T10:02:35Z20152015-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/16485http://purl.org/coar/access_right/c_16ecrestricted accessPortuguese1361387 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2015http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/101a88d9-08bd-4593-9c38-c0acd0dd6a13/downloadOperational Research - IO 2013 - XVI Congress of APDIO41935Bragança, Portugal |
| spellingShingle | Optimization clustering techniques on register unemployment data Balsa, Carlos Portuguese |
| status | SINGLETON |
| subject.fl_str_mv | Portuguese |
| title | Optimization clustering techniques on register unemployment data |
| title_full | Optimization clustering techniques on register unemployment data |
| title_fullStr | Optimization clustering techniques on register unemployment data |
| title_full_unstemmed | Optimization clustering techniques on register unemployment data |
| title_short | Optimization clustering techniques on register unemployment data |
| title_sort | Optimization clustering techniques on register unemployment data |
| topic | Portuguese |
| topic_facet | Portuguese |
| url | http://hdl.handle.net/10198/16485 |
| visible | 1 |