In this article, the agricultural indicators of 12 regions of the Republic of Uzbekistan and the Republic of Karakalpakstan for the years 2010–2024 were analyzed using machine learning, and the regions — including the Republic of Karakalpakstan — were divided into clusters based on their performance efficiency. The database was obtained from the official website of the National Statistics Committee of the Republic of Uzbekistan at https://stat.uz. A total of 36 agricultural indicators were collected and used for analysis. The K-Means and Hierarchical Clustering machine learning algorithms were applied. Based on the agricultural data, the regions and the Republic of Karakalpakstan were divided into 3 clusters using K-Means and Hierarchical Clustering algorithms
| Mualliflar | Ismailov , Ilkhom, Rakhimov , Rustamjon |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-03-25 |
| Jild | 4 |
| Son | 3 |
| Betlar | 92-100 |
| Til | Ingliz |
| DOI | 10.47390/ts-v4i3y2026n12 |
DOI: 10.47390/ts-v4i3y2026n12 · Maqolaning asl sahifasi
K-Means, Hierarchical Clustering, clustering, agriculture, Machine Learning, Uzbekistan., K-Means, Ierarxik Klasterlash, klasterlash, qishloq xo‘jaligi, Machine Learning, O‘zbekiston.
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