Clustering Farms According to Using Data from Categorical Variables
Dr. Yew-Meng Koh
A dataset concerning farms from the Kibaale District of Uganda contains information from various categorical variables. This study looks at using the categorical variable data to group like farms into clusters. This would enable us to determine common features linking farms with higher annual incomes as well as determining factors which may influence food security for households in the Kibaale District.
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