Abstract:
To increase the competitiveness of domestic universities, the "5-100 Project" is being implemented, in which from 2013 to 2020 21 universities that have been selected based on the results of "Road maps", which must necessarily reflect international cooperation, as well as plans for the development of educational programs, take part. This year, it is planned to summarize the results of the program. The interpretation of results can be heterogeneous, since it is difficult to select parameters for comparison when evaluating complex multi -parameter objects. The clustering allows you to group similar objects, while the task of the researcher is to interpret the results. It is always easier to compare objects with similar parameters. As a result, two groups were obtained. This paper analyzes the problem of evaluating the effectiveness of Universities in various parameters and their totality. Clusterization was performed using the hierarchy method in the R program. This paper examines 11 universities from the list of "5-100", information about the activities of which is most fully presented on the Internet. Built according to data provided in the University self-study reports. The analysis was carried out separately for each of the sections in order to determine the most significant parameters for the University (educational, research, international, financial and economic activities, infrastructure and training of disabled people and persons with disabilities), as well as for a set of characteristics.
