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APPLICATION OF CLUSTER ANALYSIS FOR THE STUDY OF FACTORS AFFECTING THE RATING OF SCHOOLS IN MOSCOWстатья
- Авторы: BOSENKO T.M., KONOPELKO E.S., LAVRENOVA E.V., FROLOV Y.V.
- Сборник: DATA SCIENCE AND INTELLIGENT SYSTEMS. PROCEEDINGS OF 5TH COMPUTATIONAL METHODS IN SYSTEMS AND SOFTWARE 2021, VOL. 2
- Серия: "Lecture Notes in Networks and Systems"
- Том: 231
- Год издания: 2021
- Место издания: Springer
- Первая страница: 281
- Последняя страница: 295
- Аннотация: The article presents the results of the study, during which groups of schools in Moscow were studied for some indicators that affect their rating. The process of clustering schools was carried out on the basis of eleven indicators characterizing not only educational results, school activity in the Olympiad movement, but also the financial and economic activities of general education organizations. The study applied cluster analysis using the k-secondary method and other methods that made it possible to determine the estimated number of groups of schools in Moscow with similar features. Based on the results of the study, factors that significantly affect the rating of schools on the studied dataset were determined.
- Добавил в систему: Лавренова Екатерина Владимировна