Clustering of countries and economies has been done for a long time by expert comparing to ideal theoretical entities. More recently a data driven approach has been taken, including, so called, black box methods. In this paper a SOM-based dissimilarity measure is presented and used for agglomerative hierarchical clustering of economies. It turns out that the results differ significantly from those obtained via a more traditional Euclidean distance based approach.
CITATION STYLE
Chudziak, A. (2016). Economies clustering using SOM-based dissimilarity. In Communications in Computer and Information Science (Vol. 629, pp. 111–122). Springer Verlag. https://doi.org/10.1007/978-3-319-44188-7_8
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