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Access to food assistance programs such as food pantries and food banks needsfocus in order to mitigate food insecurity. Accessibility to the foodassistance programs is impacted by demographics of the population and geographyof the location. It hence becomes imperative to define and identify foodassistance deserts (Under-served areas) within a given region to find out theways to improve the accessibility of food. Food banks, the supplier of food tothe food agencies serving the people, can manage its resources more efficientlyby targeting the food assistance deserts and increase the food supply in thoseregions. This paper will examine the characteristics and structure of the foodassistance network in the region of Ohio by presenting the possible reasons offood insecurity in this region and identify areas wherein food agencies areneeded or may not be needed. Gaussian Mixture Model (GMM) clustering techniqueis employed to identify the possible reasons and address this problem of foodaccessibility.

Application of Clustering Analysis for Investigation of Food Accessibility