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This article is cited in 7 scientific papers (total in 7 papers)
Optimization, System Analysis, and Operations Research
Pattern analysis in parallel coordinates based on pairwise comparison of parameters
A. L. Myachinab a National Research University Higher School of Economics, Moscow, Russia
b Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
Abstract:
We present the basic properties of the a new pattern analysis method in parallel coordinates; results of the method do not depend on the ordering of data in the original sample of objects being analyzed. We prove that clusters obtained with this method do not overlap. We also show the possibility of representing objects of one cluster in the form of monotonically increasing/decreasing functions.
Keywords:
pattern analysis, ordinal-invariant pattern clustering, cluster analysis.
Citation:
A. L. Myachin, “Pattern analysis in parallel coordinates based on pairwise comparison of parameters”, Avtomat. i Telemekh., 2019, no. 1, 138–152; Autom. Remote Control, 80:1 (2019), 112–123
Linking options:
https://www.mathnet.ru/eng/at15231 https://www.mathnet.ru/eng/at/y2019/i1/p138
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