MACHINE LEARNING YONDASHUVI YORDAMIDA O‘ZBEKISTON VILOYATLARINI QISHLOQ XO‘JALIGI KO‘RSATKICHLARI BO‘YICHA KLASTERLASH VA TASNIFLASH
Kalit so'zlar
https://doi.org/10.47390/ts-v4i3y2026N12Kalit so'zlar
K-Means, Ierarxik Klasterlash, klasterlash, qishloq xo‘jaligi, Machine Learning, O‘zbekiston.Annotasiya
Ushbu maqolada O‘zbekiston Respublikasining 12 ta viloyati va Qoraqalpog‘iston Respublikasining 2010–2024 yillardagi qishloq xo‘jaligi ko‘rsatkichlari machine learning yordamida tahlil qilingan hamda viloyatlar — Qoraqalpog‘iston Respublikasi bilan birga — samaradorlik darajasiga ko‘ra klasterlarga ajratilgan. Ma’lumotlar bazasi O‘zbekiston Respublikasi Davlat statistika qo‘mitasining rasmiy veb-sayti https://stat.uz dan olindi. Tahlil uchun jami 36 ta qishloq xo‘jaligi ko‘rsatkichi to‘plandi va ishlatildi. K-Means va Ierarxik Klasterlash machine learning algoritmlari qo‘llanildi. Qishloq xo‘jaligi ma‘lumotlari asosida viloyatlar va Qoraqalpog‘iston Respublikasi K-Means va Ierarxik Klasterlash algoritmlari yordamida 3 ta klasterga ajratildi.
Manbalar
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