MASHINALI O‘RGANISH JARAYONIDA ENG YAXSHI QO‘SHNILAR ALGORITMINI QO‘LLASH

Erali Mustafoyev; Mohinur Dustbekova; Dilshoda Kamolova

doi:10.5281/

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Published: 2024-05-18

DOI: https://doi.org/10.5281/

Keywords:

Mashinali o‘rganish, Evklid masofasi, KNN algoritmi, Ma’lumotlarni tahlil qilish

Mustafoyev Erali Muhiddin o‘g‘li

O‘zbekiston Milliy universiteti Jizzax filiali

Dustbekova Mohinur Ulug‘bek qizi

O‘zbekiston Milliy universiteti Jizzax filiali

Kamolova Dilshoda Naimjonovna

O‘zbekiston Milliy universiteti Jizzax filiali

Abstract

Ushbu tezisda mashinali o‘rganish jarayonida Eng yaqin qo‘shnilar (KNN) algoritmini qo‘llash bo‘lib, uning qo‘llanilishi va bu algoritmlardagi o‘ziga xosliklar, ularda uchrab turadigan qo‘shimcha ma’lumotlarni taqdim etish uchun foydalanadigan vositalar xususida so‘z boradi.

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Issue

Vol. 1 No. 1 (2024): ZAMONAVIY INNOVATSION TADQIQOTLARNING DOLZARB MUAMMOLARI VA RIVOJLANISH TENDENSIYALARI: YECHIMLAR VA ISTIQBOLLAR mavzusidagi Respublika ilmiy-texnik anjuman (2024-yil 17-18-may) (2-qism)

Section

Articles

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

How to Cite

Mustafoyev, E., Dustbekova, M., & Kamolova, D. (2024). MASHINALI O‘RGANISH JARAYONIDA ENG YAXSHI QO‘SHNILAR ALGORITMINI QO‘LLASH. Konferensiyalar, 1(1), 84-88. https://doi.org/10.5281/

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