基于聚类分析的农机化效率区划研究

发布时间：2018-05-18 21:33

本文选题：农机化 + 效率　；参考：《农机化研究》2017年08期

【摘要】：针对农业机械化效率存在的差异,提出应用k均值聚类算法对新疆各地州按农机化效率进行区划,并以各地州2014年面板数据为研究对象进行区划。对区划结果应用误差平方和(Sum of Squares for Error)、轮廊系数(Silhouette Coefficient)方法进行检验和定量分析,同时对结果根据地区农机化发展现状进行定性分析。结果表明:新疆各地州按其农机化效率分为4组(k=4):第1组昌吉、塔城、阿勒泰、巴州,第2组克拉玛依、博州,第3组哈密、伊犁、阿克苏、喀什,第4组乌鲁木齐、吐鲁番、克州、和田;组间差异最大,组内差异最小。该研究可为分类指导各地区农机化发展提供参考。
[Abstract]:In view of the difference of agricultural mechanization efficiency, a K-means clustering algorithm is proposed to partition the agricultural mechanization efficiency of all the states in Xinjiang, and the 2014 panel data of each state is taken as the research object. The method of sum of Squares for error and silhouette coefficient was used to test and analyze the results of regionalization, and the results were analyzed qualitatively according to the present situation of agricultural mechanization in the region. The results showed that according to their agricultural mechanization efficiency, all the states in Xinjiang were divided into four groups: group 1, Changji, Tacheng, Altay, Ba, group 2, Karmai, Bozhou, group 3, Hami, Yili, Aksu, Kashi, group 4, Urumqi, Turpan, Kezhou, Hotan; the difference between groups is the biggest, and the difference within groups is the least. This study can be used as a reference for the classification of agricultural mechanization in different regions.
【作者单位】：新疆农业大学机械交通学院;
【基金】：国家自然科学基金项目(51465057)
【分类号】：F323.3

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