Clustering Russian Federation Regions According to the Level of Socio-Economic Development with the Use of Machine Learning Methods-Reference-Cited by-同舟云学术

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Clustering Russian Federation Regions According to the Level of Socio-Economic Development with the Use of Machine Learning Methods

Published:2021 Issue:6 (78) Volume: Page:
ISSN:2307-0331
Container-title:Economic and Social Changes: Facts, Trends, Forecast / Экономические и социальные перемены: факты, тенденции, прогноз
language:
Short-container-title:ESC / ЭиСП

Author:

Ketova Karolina,Kasatkina Ekaterina,Vavilova Diana

Publisher

Vologda Research Center of the RAS

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative Development of Russian Regions: Assessment and Dynamics in the Context of Sustainable Development;Sustainability;2024-02-02

2. Implementation of Hierarchical Agglomerative Clustering Method to East Kalimantan Unemployment Analysis;2023 IEEE 7th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2023-11-29

3. Methodology for the Formation of a Balanced Set of Sustainable Indicators for Assessing Regional Vocational Education;Administrative Consulting;2023-07-22

4. Research on the spatiotemporal characteristics of the socioeconomic development level of mountainous earthquake-stricken areas under a long-time series after the earthquake;Environment, Development and Sustainability;2022-07-27

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