K. Simonov, V. Kuimov, M. V. Kobalinsky, S. V. Kirillova, A. Zotin, M. Kurako, A. Matsulev
{"title":"Visual ization of multi-dimensional data applied to the problems of interac tion of objects of the business-ecosystem","authors":"K. Simonov, V. Kuimov, M. V. Kobalinsky, S. V. Kirillova, A. Zotin, M. Kurako, A. Matsulev","doi":"10.34219/2078-8320-2021-12-4-40-46","DOIUrl":null,"url":null,"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.","PeriodicalId":299496,"journal":{"name":"Informatization and communication","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Informatization and communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34219/2078-8320-2021-12-4-40-46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.