Repository logo
 
Publication

A comparative study of two optimization clustering techniques on unemployment data

dc.contributor.authorBarros, Elisa
dc.contributor.authorNunes, Alcina
dc.contributor.authorBalsa, Carlos
dc.date.accessioned2014-09-10T14:33:55Z
dc.date.available2014-09-10T14:33:55Z
dc.date.issued2013
dc.description.abstractAn important strategy for data classi cation 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, 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.por
dc.identifier.citationBarros, Elisa; Nunes, Alcina; Balsa, Carlos (2013). A comparative study of two optimization clustering techniques on unemployment data. In XVI Congresso da Associação Portuguesa de Investigação Operacional. Bragança
dc.identifier.isbn978-972-745-154-8
dc.identifier.urihttp://hdl.handle.net/10198/10382
dc.language.isoporpor
dc.peerreviewedyespor
dc.publisherInstituto Politécnico de Bragançapor
dc.subjectClustering methodspor
dc.subjectK-meanspor
dc.subjectSpectral clusteringpor
dc.subjectUnemployment data miningpor
dc.titleA comparative study of two optimization clustering techniques on unemployment datapor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapor
oaire.citation.endPage57por
oaire.citation.startPage48por
oaire.citation.titleXVI Congresso da Associação Portuguesa de Investigação Operacionalpor
person.familyNameBarros
person.familyNameNunes
person.familyNameBalsa
person.givenNameElisa
person.givenNameAlcina
person.givenNameCarlos
person.identifier1721518
person.identifier.ciencia-id1111-680F-0CAF
person.identifier.ciencia-idDE1E-2F7A-AAB1
person.identifier.orcid0000-0001-8515-695X
person.identifier.orcid0000-0003-4056-9747
person.identifier.orcid0000-0003-2431-8665
person.identifier.ridM-8259-2013
person.identifier.ridM-8735-2013
person.identifier.scopus-author-id55907654000
person.identifier.scopus-author-id23391719100
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication29601d32-5c12-4b5f-84ec-55d83617d04e
relation.isAuthorOfPublicationf96c3560-c1d3-432c-aa84-49982ea86106
relation.isAuthorOfPublicationd0e5ccff-9696-4f4f-9567-8d698a6bf17d
relation.isAuthorOfPublication.latestForDiscovery29601d32-5c12-4b5f-84ec-55d83617d04e

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ProceedingsIO2013.pdf
Size:
648.03 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: