Barros, ElisaNunes, AlcinaBalsa, Carlos2014-09-102014-09-102013Barros, 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. Bragança978-972-745-154-8http://hdl.handle.net/10198/10382An 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.porClustering methodsK-meansSpectral clusteringUnemployment data miningconference object