Discriminant Analysis Based on Kohonen Statistics



The paper describes a new method of discriminant analysis based on T. Kohonen's neural networks. The analysis algorithm and its advantages are considered.

General Information

Keywords: discriminant analysis, Kohonen’s self-organizing maps

Journal rubric: Short Messages

Article type: scientific article

DOI: https://doi.org/10.17759/mda.2023130411

Received: 20.11.2023


For citation: Komarov I.V., Kuravsky L.S. Discriminant Analysis Based on Kohonen Statistics. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2023. Vol. 13, no. 4, pp. 176–182. DOI: 10.17759/mda.2023130411. (In Russ., аbstr. in Engl.)


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  3. Vorontsov K. V. Mathematical methods of learning from precedents (machine learning theory), P. 9, 42 URL: https://www.kaznu.kz/content/files/pages/folder23376/Voron-ML-1.pdf.
  4. Voronov, M. V. Artificial intelligence systems: textbook and practice for universities / M. V. Voronov, V. I. Pimenov, I. A. Nebaev. - 2nd ed., revision and add. - Moscow: Yurait Publishing House, 2023.
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Information About the Authors

Ivan V. Komarov, student, Moscow State University of Psychology & Education, Moscow, Russia, ORCID: https://orcid.org/0009-0005-6848-5977, e-mail: busykomarov@gmail.com

Lev S. Kuravsky, Doctor of Engineering, professor, Dean of the Computer Science Faculty, Moscow State University of Psychology and Education, Moscow, Russia, ORCID: https://orcid.org/0000-0002-3375-8446, e-mail: l.s.kuravsky@gmail.com



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