聚类分析在食品可及性调查中的应用
Application of Clustering Analysis for Investigation of Food Accessibility
摘要：
获得粮食援助计划，如食品储藏室和粮食银行需要重点，以减轻粮食不安全。获得粮食援助方案的机会受到人口统计和所在地地理的影响。因此，必须界定和确定特定区域内的粮食援助荒漠（服务不足地区），以找到改善粮食获取的途径。粮食银行是向为人民服务的粮食机构提供粮食的机构，它可以更有效地管理其资源，把粮食援助沙漠作为目标，增加这些地区的粮食供应。本文将研究的特点和结构的粮食援助网络在俄亥俄州的地区，提出了可能的原因，粮食不安全在这一地区，并确定在哪些地区需要或可能不需要粮食机构。高斯混合模型（GMM）聚类技术，以确定可能的原因，并解决这个问题的食品可及性。
英文摘要：
Access to food assistance programs such as food pantries and food banks needs focus in order to mitigate food insecurity. Accessibility to the food assistance programs is impacted by demographics of the population and geography of the location. It hence becomes imperative to define and identify food assistance deserts (Under-served areas) within a given region to find out the ways to improve the accessibility of food. Food banks, the supplier of food to the food agencies serving the people, can manage its resources more efficiently by targeting the food assistance deserts and increase the food supply in those regions. This paper will examine the characteristics and structure of the food assistance network in the region of Ohio by presenting the possible reasons of food insecurity in this region and identify areas wherein food agencies are needed or may not be needed. Gaussian Mixture Model (GMM) clustering technique is employed to identify the possible reasons and address this problem of food accessibility.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
