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Using the Kohonen Network to Group World Economies in the Context of Factors Characterizing the Meeting of their Energy Needs

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  • Witold Roman

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Abstract

The purpose of the paper is clustering world economies in the context of factors characterizing the meeting of their energy needs. To achieve this purpose the Kohonen network was used, which realizes unsupervised learning (self-learning) network (SOM). The necessary computations were performed using the som () function of class package running in the R environment. The result of the clustering analysis was obtaining homogeneous groups of states worldwide. It can serve further elaborations over improving the meeting of Poland’s energy needs.

Suggested Citation

  • Witold Roman, 2017. "Using the Kohonen Network to Group World Economies in the Context of Factors Characterizing the Meeting of their Energy Needs," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 45, pages 347-358.
    • Handle: RePEc:sgh:annals:i:45:y:2017:p:347-358
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    References listed on IDEAS

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    1. Wehrens, Ron & Buydens, Lutgarde M. C., 2007. "Self- and Super-organizing Maps in R: The kohonen Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i05).
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