Clustering Farms According to Using Data from Categorical Variables
Faculty Mentor(s)
Dr. Yew-Meng Koh
Document Type
Poster
Event Date
4-15-2016
Abstract
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.
Recommended Citation
A recommended citation will become available once a downloadable file has been added to this entry.
COinS
