17 - 20世纪俄罗斯社会进程的分形建模与聚类分析

Historical research in the context of data science: Information resources, analytical methods and digital technologies Pub Date : 2020-12-15 DOI:10.29003/M1788.978-5-317-06529-4/48-56

D. Zhukov, V. Kanishchev, S. Lyamin

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摘要

本文探讨了分形模拟和聚类分析在历史研究中的启发式可能性。作者介绍了将这些研究工具应用于历史人口过程研究(19 - 20世纪)和边疆历史(17 - 19世纪)的例子。作者的结论是，上述工具包是一种有效的对象类型化方法。

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Fractal modeling and cluster analysis of social processes in Russia, 17th – 20th centuries

The article is devoted to the heuristic possibilities of fractal simulation and cluster analysis in historical research. The authors presented examples of the application of these research tools to the study of historical demographic processes (XIX–XX centuries), to the history of the frontier (XVII – XIX centuries). The authors concluded that the mentioned toolkit is an effective means of typing objects.

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Historical research in the context of data science: Information resources, analytical methods and digital technologies

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