The use of interval methods for data analysis
UDC: 519:004
DOI: -
Authors:
FROLOV ALEXANDER V.
1
1 Maritime State University named after admiral G.I. Nevelsky, Vladivostok, Russia
Keywords: cluster structure, interval analysis, binary feature, regularity, scaling, taxonomy
Annotation:
The necessity of identifying and analyzing information and logical connections and patterns, in particular, Data Mining and non-traditional, flexible approaches, determines the relevance of the study. Using the methods of system analysis, scaling, taxonomy and interval analysis, the author of the article studies the problems of comparing objects by key features. The key approach here is to find a measure of compactness and analyze the connectivity of objects using interval methods in the features space. The feature values division into intervals on the sample objects is shown, then, by using the merging method into zones, the classification of the sampling objects is implemented. The conducted analysis resulted in significant patterns identification that allows improving the decision-making process in various areas. The article can be useful for specialists in the field of data analysis and development of intelligent systems as well as for further research in this area.
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