Using R Programming Language to Cluster of Universities Based on Sustainability Potential Indicators

Abstract

The paper performs clustering of universities on the basis of indicators of sustainability potential using R programming language. Theoretical bases of potential of sustainability of institutions of higher education are substantiated, the definition of the concept “sustainability potential” is offered. The groups of indicators of sustainability potential are systematized, including: scale indicators, financial indicators and indicators of external competitiveness assessment. The methodological principles underlying the research, such as dynamic, unified, systemic and holistic, are determined. The algorithm for constructing clusters of universities using R programming language is described. University clusters were built and analyzed according to similarity of indicators. The advantages and disadvantages of the clustering method using R programming language for performing an analysis of the potential of sustainability of universities, the possibility of applying this approach in further research in the labor market, are identified.