Informatics and Applications
2017, Volume 11, Issue 2, pp 59-64
HIGH-DENSITY MULTIVARIATE REFERENCE REGION
Abstract
The paper considers the principles of construction of multivariate reference regions. An original method of construction of a region on the basis of areas of high density of points and approximation of data distribution with a mixture of normal distributions is suggested. To estimate the threshold for the probability density, the bootstrap method is used. As an experiment, the paper considers the problem of description and use of the reference region for predicting the type of urinary stones. Real data treatment demonstrated the benefits of the proposed solutions.
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[+] About this article
Title
HIGH-DENSITY MULTIVARIATE REFERENCE REGION
Journal
Informatics and Applications
2017, Volume 11, Issue 2, pp 59-64
Cover Date
2017-06-30
DOI
10.14357/19922264170207
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
multivariate reference region; high-density region; bootstrap method; multivariate normal
Authors
M. P. Krivenko 
Author Affiliations
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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