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    Methods of intellectual data analysis in COVID-19 research by Oleg V. Senko, Anna V. Kuznetsova, Evgeny M. Voronin, Olga A. Kravtsova, Ludmila R. Borisova, Igor L. Kirilyuk, Vasiliy G. Akimkin

    Published 2022-04-01
    “…The most important indicators by which the clusters differ from each other are amplitude of temperatures throughout the year, high-tech exports, Gini coefficient, size of the urban population and the general population, index of net barter terms of trade, population growth, average January temperature, territory (land area), number of deaths due to natural disasters, birth rate, coastline length, oil reserves, population in urban agglomerations with a population of more than 1 million etc. …”
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