Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/16485
Título: Optimization clustering techniques on register unemployment data
Autor: Balsa, Carlos
Nunes, Alcina
Barros, Elisa
Palavras-chave: Portuguese
Data: 2015
Editora: Springer International Publishing
Citação: 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
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.
Peer review: yes
URI: http://hdl.handle.net/10198/16485
DOI: 10.1007/978-3-319-20328-7_2
ISBN: 978-3-319-20327-0
Aparece nas colecções:CIMO - Publicações em Proceedings Indexadas à WoS/Scopus

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