Multi-Country Mortality Analysis Using Self Organizing Maps

Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 26)


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.


Clustering Mortality Self Organizing Maps 


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© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of GenoaGenovaItaly

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