Abstract
In this paper we used two clustering methods (SOM and K-means) to optimize the location of CCA (Chromated Copper Arsenate)-treated wood waste remediation units in Portugal. We used the SOM Toolbox for Matlab implementation with the population data from the last census made by the National Statistics Institute. The two methods yield good results, but we concluded that the k-means algorithm provided better solutions than the SOM in this particular problem.
Original language | English |
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Pages (from-to) | 1-7 |
Number of pages | 7 |
Journal | Revista da Associação Portuguesa de Classificação e Análise de Dados |
Volume | 8 |
Issue number | NA |
Publication status | Published - 1 Jan 2011 |