Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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METHODS FOR STUDYING THE MULTIDIMENSIONAL EXPERIMENSIONAL DATA STRUCTURE

Osadchaya I.A. 1 Berestneva O.G. 1
1 National Research Tomsk Polytechnic University
In analyzing the data the researcher often faced with multi-dimensional descriptions. Multivariate analysis - the most effective quantitative research tool processes described by a large number of characteristics. This paper describes the features of the structural analysis of the data using cluster analysis and cognitive graphics. Examples of solutions of two applications: a structural analysis of indicators of respiratory mechanics in patients with different types of asthma and indicators of students’ motivational sphere of humanitarian and technical specialties. For computer processing and data analysis software packages used Statistica and NovoSpark Visualizer. The results of the study authors suggest that the methods presented in the paper and approaches are promising directions in the field of multi-dimensional analysis and experimental psycho-social and medical data.