基于模糊迭代聚类的水资源分区研究  

Fuzzy clustering iterative model and its application in water resource partition

作　　者：陈守煜[1] 李亚伟[1] 

机构地区：[1]大连理工大学土木水利学院,辽宁大连116024

出　　处：《辽宁工程技术大学学报（自然科学版）》2004年第6期848-851,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：国家自然科学基金资助项目(59179376)

摘　　要：给出一种模糊聚类循环迭代模型以及确定最佳聚类数的方法,采用交叉循环迭代的方法确定聚类中心,通过判断聚类准则函数获得最佳聚类数。最后将模糊聚类循环迭代模型应用到对我国 29 个省、市、自治区的水资源分区的研究中,将水资源按照 4 个指标分为 5 个类别,结果表明,模糊循环迭代聚类模型得出的分区结果比较合理。Fuzzy clustering iteration model and a method to decide the preferable clustering number are established by authors. By means of iteration calculation we can decide the clustering center, through judging the value of target function, the preferable clustering number can be found. After that, clustering model is used to deal with water resource partition of 29 provinces, autonomous region or municipalities in China ,all regions are grouped into 5 categories according to 4 indices, and the result is quite reasonable。

关 键 词：模糊聚类 最佳聚类数 水资源分区 

分 类 号：TV212.2[水利工程—水文学及水资源]