河流分类的模糊聚类分析  

The Fuzzy Clustering Analysis for Rivers Classification

作　　者：崔韧刚[1] 姜志侠[2] 

机构地区：[1]海南师范学院数学系 [2]长春光学精密机械学院

出　　处：《长春光学精密机械学院学报》2000年第3期68-70,共3页Journal of Changchun Institute of Optics and Fine Mechanics

摘　　要：本文将模糊聚类最大矩阵元原理与基于数据迭代为基础的模糊ISODATA聚类迭代原理相结合 ,形成模糊综合聚类迭代法。并利用此方法对辽西沿海诸河流域进行了分类评价 ,得出了令人满意的结果。By applying the method of fuzzy cluster and fuzzy synthetic evaluation,i.e,combnining the maximum matrix element principle of fuzzy clustering analysis with the theoretical fuzzy ISODATA clustering modeling which is based on data iteration,a fuzzy synthetic clustering iteration method is established.The coastal rivers in west Liaoning are classified and evaluated by the use of this method,and a satisfactory result has been obtained.

关 键 词：流域 水资源 截集水平 布尔矩阵 量优分点 河流分类 模糊聚类分析 

分 类 号：P941.77[天文地球—自然地理学] O159[理学—数学]