USING CLUSTER ANALYSIS IN THE INTELLIGENT DATA PROCESSING

Abstract

The article considers the basic concepts of such a section of big data science (Data Science) as cluster analysis. The theoretical foundations and practical aspects of the application of cluster analysis in various fields are highlighted. A selection of freely distributed software tools for cluster analysis, appropriate for use in the educational process and practical activities, is made. Elements of methodology of teaching the basics of cluster analysis to future computer science teachers, computer science and social sciences specialists are proposed.

Article's purpose is to analyze and select didactically appropriate freely distributed tools for execution cluster data analysis, and to develop certain components of methodology of teaching this topic to future computer science teachers, computer and social science specialists.

Methodology. Study and analysis of scientific papers, educational and methodological publications, comparative analysis of software, generalization of the experience of specialists in the field of education, computer and social sciences, modeling and synthesis of components of the teaching methodology, a systematic approach to teaching computer science.

Scientific novelty. Appropriate freely distributed tools for cluster analysis have been selected and certain components of the methodology for teaching future specialists have been developed.

Conclusions. The paper considers the basic concepts of cluster analysis. The essence and purpose of cluster analysis are highlighted, a review of sources on this topic is made, freely distributed tools are selected and methodological approaches to teaching the basics of cluster analysis to future computer science teachers and specialists in computer and social sciences are given. The indicated methodological approaches to teaching modern methods and tools of cluster analysis are aimed at forming in future specialists special competencies necessary for intelligent data analysis. Such formation can be carried out when studying the discipline «Fundamentals of Artificial Intelligence and Intelligent Data Analysis», that actualizes the topic of the specified course.