Discriminant Analysis Based on Kohonen Statistics

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Abstract

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

Accepted:

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.)

References

  1. Kohonen T. Self-organizing maps, pers. 3rd Engl. ed. 2nd ed. (el.), M. BINOM. Laboratory of Knowledge, 2014.
  2. Kuravsky L. S., Baranov S. N. Computer modeling and data analysis. Lecture notes and exercises: Tutorial. - MOSCOW: RUSAVIA, 2012. С. 62-65, 108
  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.
  5. StatSoft. Electronic textbook on statistics // Discriminant analysis. URL: http://statsoft.ru/home/textbook/modules/stdiscan.html.
  6. Sturges H. The choice of a class-interval. J. Amer. Statist. Assoc., 1926 P. 21, 65- 66.

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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