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AN APPLICATION OF PRINCIPAL COMPONENT ANALYSIS TO INTERNATIONAL COMPARISON OF ECONOMIC ACTIVITIES
Verenikin A., Verenikina A.
rather simple but comprehensive approach based on principal component analysis widely used
PRINCIPAL COMPONENTS APPROACH TO ESTIMATION OF ENVIRONMENTAL RESPONSIBILITY OF RUSSIAN REGIONS
Verenikina A., Verenikin A.
on the basis of generalized modified principal component analysis. The approach allows to avoid any expert
EVALUATION OF MACROECONOMIC DYNAMICS USING GENERALIZED MODIFIED PRINCIPAL COMPONENTS ANALYSIS
Verenikin A., Verenikina A.
on the means of generalized modified principal component analysis (GMPCA) applied to temporal structure
Evaluation of Environmental Impact and Responsibility of Russian Largest Companies
Finley J.T., Verenikina A.Y., Verenikin A.O.
extracting, production and financial companies. The methodology of research is based on principal component
Quality Management System Certification in the Russian Software Development Industry
Verenikin A.O., Amirkhanova F.S., Verenikina A.Y.
in 2016. We used modified principal component analysis to calculate the indices of the company
An approach to reducing complexity of neuromorphic fault dictionary construction for analogue integrated circuits
Mosin S.
dimension is proposed. The principal component analysis (PCA) and criterion based on the explained residual
Kinematics of finite elastoplastic deformations
Golovanov A.
In this paper we review various approaches to the decomposition of total strains into elastic
THE NEW APPROACHES TO IDENTIFICATION OF TINCTURES AND MEDICINAL PLANTS
Pleteneva T.V., Ogotoeva D.D., Levitskaya O.V., Galkina D.A., Uspenskaya E.V., Syroeshkin A.V.
and tinctures by processing spectral results across a wide range of wavelengths using principal component
Kinematics of finite elastoplastic deformations
Golovanov A.
In this paper we review various approaches to the decomposition of total strains into elastic
Evaluation of Sustainable Development of Russian Largest Companies
Verenikin A.O., Makhankova N.A., Finley J.T., Verenikina A.Y.
principal components approach

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