Application of multiparametric methods of data science for the classification of Russian subjects on the basis of subsidisation | Kuznetsova | UPRAVLENIE / MANAGEMENT (Russia)

UPRAVLENIE / MANAGEMENT (Russia)
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ISSN 2309-3633 (Print)
ISSN 2713-1645 (Online)

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Kuznetsova A.V., Borisova L.R., Khadartsev V.M. Application of multiparametric methods of data science for the classification of Russian subjects on the basis of subsidisation. UPRAVLENIE / MANAGEMENT (Russia). 2024;12(3):58–73. (In Russ.) https://doi.org/10.26425/2309-3633-2024-12-3-58-73

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ISSN 2309-3633 (Print)
ISSN 2713-1645 (Online)

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About the Authors

A. V. Kuznetsova
N.M. Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences
Russian Federation

Anna V. Kuznetsova, Cand. Sci. (Biol.), Senior Researcher at the Laboratory of Mathematical Biophysics

4, Kosygina ul., Moscow 119334

L. R. Borisova
Financial University under the Government of the Russian Federation
Russian Federation

Lyudmila R. Borisova, Cand. Sci. (Phys. and Math.), Assoc. Prof. at the Mathematics Department

49, Leningradsky prospekt, Moscow 125993

V. M. Khadartsev
State enterprise “TSNIITEITYAZHMASH”
Russian Federation

Valeriy M. Khadartsev, Cand. Sci. (Econ.), Director

17, str. 1, Troitskaya ul., Moscow 123090

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