CLUSTERING AND CLASSIFICATION OF UZBEKISTAN'S REGIONS BY AGRICULTURAL INDICATORS USING A MACHINE LEARNING APPROACH, MACHINE LEARNING YONDASHUVI YORDAMIDA O‘ZBEKISTON VILOYATLARINI QISHLOQ XO‘JALIGI KO‘RSATKICHLARI BO‘YICHA KLASTERLASH VA TASNIFLASH

<jats:p>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</jats:p>