Publication
Optimization clustering techniques on register unemployment data
| dc.contributor.author | Balsa, Carlos | |
| dc.contributor.author | Nunes, Alcina | |
| dc.contributor.author | Barros, Elisa | |
| dc.date.accessioned | 2018-03-23T10:02:35Z | |
| dc.date.available | 2018-03-23T10:02:35Z | |
| dc.date.issued | 2015 | |
| dc.description.abstract | 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. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Balsa, Carlos; Nunes, Alcina; Barros, Elisa (2015). Optimization clustering techniques on register unemployment data. In Almeida, João Paulo; Oliveira, José F.; Pinto, Alberto A. (Eds.) Operational Research e 16th National Conference of the APDIO. p. 19-35. ISBN 978-3-319-20327-0 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-319-20328-7_2 | pt_PT |
| dc.identifier.isbn | 978-3-319-20327-0 | |
| dc.identifier.uri | http://hdl.handle.net/10198/16485 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer International Publishing | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Portuguese | pt_PT |
| dc.title | Optimization clustering techniques on register unemployment data | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Bragança, Portugal | pt_PT |
| oaire.citation.endPage | 35 | pt_PT |
| oaire.citation.startPage | 19 | pt_PT |
| oaire.citation.title | Operational Research - IO 2013 - XVI Congress of APDIO | pt_PT |
| oaire.citation.volume | 4 | pt_PT |
| person.familyName | Balsa | |
| person.familyName | Nunes | |
| person.familyName | Barros | |
| person.givenName | Carlos | |
| person.givenName | Alcina | |
| person.givenName | Elisa | |
| person.identifier | 1721518 | |
| person.identifier.ciencia-id | DE1E-2F7A-AAB1 | |
| person.identifier.ciencia-id | 1111-680F-0CAF | |
| person.identifier.orcid | 0000-0003-2431-8665 | |
| person.identifier.orcid | 0000-0003-4056-9747 | |
| person.identifier.orcid | 0000-0001-8515-695X | |
| person.identifier.rid | M-8735-2013 | |
| person.identifier.rid | M-8259-2013 | |
| person.identifier.scopus-author-id | 23391719100 | |
| person.identifier.scopus-author-id | 55907654000 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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