ISSN 2079-3537      

 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                                                                                             
Scientific Visualization
Issue Year: 2016
Quarter: 1
Volume: 8
Number: 1
Pages: 45 - 57
Article Name: A SOLUTION TO A MULTIDIMENSIONAL DYNAMIC DATA ANALYSIS PROBLEM BY THE VISUALIZATION METHOD
Authors: D.D. Popov (Russian Federation), I.E.Milman (Russian Federation), V.V.Pilyugin (Russian Federation), A.A. Pasko (UK)
Address: D.D. Popov
dpopovmephi@gmail.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

I.E. Milman
igalush@gmail.com
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

V.V. Pilyugin
VVPilyugin@mephi.ru
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Moscow, Russian Federation

A.A. Pasko
apasko@bournemouth.ac.uk
National Centre for Computer Animation, Bournemouth University, Bournemouth, United Kingdom
Abstract: The article describes a solution of a data analysis problem. Data to be analyzed represent changes in a given set of multidimensional objects with time. We propose to apply the visualization method to solve this problem. A formalization of the method is presented with a mathematical description of each stage of the source data visualization.
A developed interactive visualization application program is described. It is based on the models of the theoretical part of the article.
We emphasize the efficiency of the visualization method. It allows one to make a judgment on the formation of bunches or clusters of objects formalized in the form of n-tuples of real numbers and to find the objects seeking to be in a cluster or a bunch. Additionally, examples of use of the developed program for searching for invariants in changing the source data are provided.
Language: English


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