Visual ization of multi-dimensional data applied to the problems of interac tion of objects of the business-ecosystem

K. Simonov, V. Kuimov, M. V. Kobalinsky, S. V. Kirillova, A. Zotin, M. Kurako, A. Matsulev
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Abstract

The study is devoted to the development of information and methodological support in relation to expert assessment of the interaction and mutual influence of objects of the business ecosystem taking into account their spatial location. As a computational toolkit the work uses adapted methods of clustering and visualization in the form of constructing a set of Voronoi and elastic maps. The purpose of the study is to identify hidden patterns in multidimensional data in relation to the studied complex processes. The article was prepared within the framework of the Grant of the RFBR and the Government of the Krasnoyarsk Territory No. 20-410-242916 / 20 r_mk Krasnoyarsk.
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多维数据可视化应用于商业生态系统中对象的交互问题
该研究致力于发展信息和方法支持,以便专家评估商业生态系统对象的相互作用和相互影响,同时考虑到它们的空间位置。作为一个计算工具包,该工作以构建一组Voronoi和弹性地图的形式使用了适合的聚类和可视化方法。该研究的目的是识别与所研究的复杂过程相关的多维数据中的隐藏模式。这一条款是在第20-410-242916 / 20 r_mk克拉斯诺亚尔斯克号联邦联邦调查局和克拉斯诺亚尔斯克地区政府的赠款框架内编写的。
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