模糊图在生物群落聚类中的应用  

Application of Fuzzy Graph in Cluster Analysis of Species

作　　者：赵学靖[1] 苏锦霞[1] 杨凤翔[1] 

机构地区：[1]兰州大学数学系,甘肃兰州730000

出　　处：《兰州大学学报（自然科学版）》2001年第1期14-18,共5页Journal of Lanzhou University(Natural Sciences)

摘　　要：基于模糊图的聚类方法 ,对 Tanganyika湖的生物群落作了一动态聚类分析 .在考虑捕食及被捕食强度基础上 ,作出如下假设 :若某些种群捕食食饵的强度和被天敌捕食的强度相同 ,则这些种群可视为同一种群 ,从而对原始种群作一初步分类 .基于捕食关系 ,在定义了相似系数及相似矩阵的基础上研究了种群的最大树关系图及动态聚类 .Based on the method of cluster analysis in fuzzy graph, a dynamic cluster on Lake Tanganyika is brought in. Thinking of the strength of predator, the following supposition is made: some species can be looked upon as the same species if the strength is equal. So the original community can be clustered into some species classes. Also, the coefficient and the matrix of analogy are induced, and the maximum tree and the dynamic cluster based on the ration of species are researched.

关 键 词：模糊图 最大树 捕食强度 相拟矩阵 生物群落 动态聚类分析 捕食图 

分 类 号：Q141[生物学—生态学] Q159[生物学—普通生物学]