The Analysis of the Mathematical Training Content Using Cluster Analysis: Didactic and Technological Aspects

The article deals with the application of combining the methods of hard and fuzzy clustering to establish the frequency of interdisciplinary relationships. These relationships are defined by the main concepts of the mathematical analysis for students of mathematical specialties of a classical university. The training program provides for a deep mastering of mathematical content. Identifying the most in-demand concepts, properties, and relationships is the basis for optimizing the program and the content of the mathematical training to integrate the provisions of knowledge engineering, teaching theory, and educational practice.