USING CLUSTER ANALYSIS METHODS TO CLASSIFY USERS OF THE EDUCATIONAL SPACE


DOI:
https://doi.org/10.5281/zenodo.16595406Keywords:
methods of cluster analysis, educational space, client server architecture, method of sequential acquisition`Abstract
Preliminary analysis allows, at the early stages of developing an educational space model, to determine the feasibility of designing information technology (including in the Client Server architecture) or distributed databases based on an analysis of the commonality of the educational space of a given set of users. The current article aims to the proposed method of community analysis is based on the assessment of the similarity function of users of the educational space.
References
Muradova V. Kh. Influence factors of decision-making systems on enterprise management PDMU-2022 xxxvii internationallconference problems of decision making under uncertainties november 23-25, 2022 Sheki-Lankaran, Republic of Azerbaijan November 23-25, 2022 P. 85 http://pdmu.univ.kiev.ua/PDMU_2022/PDMU_2022_Sheki.pdf
Murad Omarov, Vusala Muradova BAYESIAN REGULARIZATION OF LEARNING Journal of Natural Sciences and Technologies ISBN:978-605- 73552-2-5 ICONAT-2022, Antalya, Turkey, 24-25 August, P. 80 https://journalofnastech.com/index.php/pub/issue/view/1
Мурадова В.Х., Формалізовані моделі освітнього простору інформаційних вимог користувачів у системах дистанційного навчання 29-й Міжнародний молодіжний форум «Радіоелектроніка і молодь у ХХІ столітті». Зб. матеріалів форуму. Т. 7. Харків: ХНУРЕ. 2025. 291-293 c. УДК 004:37.018.43]:37.014.6
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Journal of Natural Sciences and Technologies

This work is licensed under a Creative Commons Attribution 4.0 International License.