TIMSOLLARNI TANIB OLISH MASALALARINI YECHISHDA “K-ENG YAQIN QO‘SHNI”LAR USULI

Authors

  • L.Sh. Nurimova Toshkent farmasevtika instititi, Toshkent shaxri. O’zbekiston Respublikasi. Author
  • D.Z. Narzullayev Toshkent farmasevtika instititi, Toshkent shaxri. O’zbekiston Respublikasi. Author

Abstract

K-eng yaqin qo‘shnilarni diskriminant tahlil masalalarini hal qilish uchun birinchi marta 1952-yildayoq taklif etilgan bo’lib, noma’lum ob’ektni tasniflashda belgilar fazosida berilgan sondagi (k) tanib olinayotgan sinflarga tegishligi ma’lum bo‘lgan boshqa ob’ektlar (eng yaqin qo‘shnilar) topiladi.

References

Beliakov G. On a Method of Multivariate Density Estimate Based on Nearest Neighbours Graphs. RUDN Journal of MIPh. 2018 Vol. 26 No. 1 58–73 p.

Published

2024-06-30

Issue

Vol. 4 No. 6 (Special Issue) (2024): Eurasian Journal of Medical and Natural Sciences

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

TIMSOLLARNI TANIB OLISH MASALALARINI YECHISHDA “K-ENG YAQIN QO‘SHNI”LAR USULI. (2024). Eurasian Journal of Medical and Natural Sciences, 4(6 (Special Issue), 399-400. https://www.in-academy.uz/index.php/EJMNS/article/view/10625