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. Bragança. ISBN 979-972-745-153-1979-972-745-153-1http://hdl.handle.net/10198/10378An 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, 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