In this paper we introduce the use of Self Organizing Maps (SOMs) in multidimensional mortality analysis. The rationale behind this contribution is that patterns of mortality in different areas of the world are becoming more and more related; a fast and intuitive method understanding the similarities among mortality experiences could therefore be of aid to improve the knowledge on this complex phenomenon. The results we have obtained highlight common features in the mortality experience of various countries, hence supporting the idea that SOM may be a very effective tool in this field. © Springer International Publishing Switzerland 2014.
CITATION STYLE
Piscopo, G., & Resta, M. (2014). Multi-country mortality analysis using Self Organizing Maps. In Smart Innovation, Systems and Technologies (Vol. 26, pp. 233–240). https://doi.org/10.1007/978-3-319-04129-2_23
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