title: ÐÐµÑÐ¾Ð´Ð¸ÐºÐ° ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÑ Ð¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÑ Ð¾ÑÐ³Ð°Ð½Ð¸Ð·Ð°ÑÐ¸Ð¹ Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ»Ð°ÑÑÐµÑÐ½Ð¾Ð³Ð¾ Ð°Ð½Ð°Ð»Ð¸Ð·Ð°
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: The methodology of creating the digital infrastructure of educational organizations based on cluster analysis
Creators: name: ÐÐµÐ»ÑÐµÐ²Ð°, ÐÐ¸ÐºÐ°
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: ÐºÐ»Ð°ÑÑÐµÑÐ½ÑÐ¹ Ð°Ð½Ð°Ð»Ð¸Ð·
ÑÐ¼Ð°ÑÑ-ÐºÐ°Ð¼Ð¿ÑÑ
ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑÑÐºÐ¸Ð¹ ÐºÐ°Ð¼Ð¿ÑÑ
ÑÐ¸ÑÑÐ¾Ð²Ð°Ñ Ð¸Ð½ÑÑÐ°ÑÑÑÑÐºÑÑÑÐ°
Ð°Ð½Ð°Ð»Ð¸Ð· Ð´Ð°Ð½Ð½ÑÑ
cluster analysis
smart campus
university campus
digital infrastructure
data analysis

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description: The study is a comprehensive analysis of the needs of students and teachers within the university complex. Through an extensive survey and the application of the k-means clustering algorithm, significant infrastructure deficiencies affecting various aspects of learning and work at the university were identified. The results of the study served as the basis for the development of a methodology for creating the digital infrastructure of an educational organization based on cluster analysis, a master plan for improving the campus, including upgrading classrooms, creating modern recreation areas and coworking spaces, as well as ensuring the accessibility of laboratories and improving security. This research not only identifies problems, but also suggests specific ways to solve them, aimed at creating an innovative and comfortable environment for learning and work. Detailed analysis and recommendations make this article relevant for everyone who is interested in modern approaches to the development of the university campus and the provision of quality education. The relevance of this study is due to the growing interest of universities in the smart transformation of their campuses. Smart campuses are an innovative way to improve the educational environment, optimize resources and improve the quality of service for students and staff. Taking into account modern educational requirements, the increasing role of information technology and user expectations, the study provides valuable practical recommendations for universities that seek to provide a more modern and effective educational environment. The purpose of the study is to develop a methodology for the development of the digital infrastructure of educational organizations through cluster analysis. Research objectives: â An overview of existing research on the application of data analysis to improve infrastructure in the construction sector. â Overview of the implementation of modern smart campuses in universities around the world. â The study of the basic methods of cluster analysis. â Development of a methodology for the development of the university environment using cluster analysis. â Identification of key problems of the SPbPU campus based on survey data and development of a strategy to solve them. â Technical and economic analysis of the proposed solutions. The analysis, conducted through an extensive survey of 396 residents, touched upon various aspects of the smart campus concept. Using cluster analysis, specific indicators were identified that demonstrate shortcomings within the framework of the smart campus concept present on the territory of the university complex. To analyze the data obtained, a cluster analysis method was used to identify specific indicators and shortcomings in the universitys infrastructure. The silhouette method was considered in order to optimize the number of clusters, which allowed us to obtain more accurate results. Using the Orange software, a calculation was carried out to help identify the missing infrastructure facilities for the successful smart transformation of the Polytechnic University. The study revealed significant shortcomings in the university infrastructure that do not meet the needs of students and teachers. The data obtained on the needs and expectations of users form the basis for the development.