摘要
空间聚类形成结束时,适当对聚类簇展开分级处理,相当于是对聚类结果进行二次加工,探索发现其潜藏在自身的秘密。空间分级处理一般是按照一定规则,对非空间属性进行运算,得到各个簇的等级。还可按照空间方位权重,对方位因素进行等级划分,得到空间簇在方位上的分布等级。两种分级方式也可按照影响因子的不同同时进行等级划分,实现两者的协同使用。
As the final process of spatial clustering formation,we can run proper grading on hierarchical clustering results to further reveal the secrets beneath the surface.Processing method of spatial classification is usually,according to certain rules,to calculate its non-spatial attributes,to obtain the level of each cluster.We can also grade factors according to their weights of bearing space,to get the distribution of certain spatial cluster in bearing level.In order to coordinate both methods,we can also employ these two kinds of classification simultaneously according to different influential factors.
出处
《计算机与数字工程》
2016年第9期1668-1673,共6页
Computer & Digital Engineering
基金
河南省信息化基金重点项目(编号:2015HNGT091)资助
关键词
数据挖掘
空间聚类
分级
方法
data mining
spatial clustering
classification
methods