摘要
文章统计了东莞轨道交通2号线15个站点的9个数据指标,给出了数据选取的依据,利用因子分析对站点数据进行了分析,提取了站点数据的3个公共因子.结合系统聚类树状图与聚合系数变化图确定了站点分类的数目,由K-均值聚类给出了分类结果,最后对各类站点的特性进行了描述.
In this paper we first count the categorized data of the 15 sites,these data are from nine aspects of the sites and the basis of data selection is given.Then factor analysis is used to analyze the statistical data and three common factors of the data are extracted.After that,the number of classifications is determined by combining clustering tree graph and aggregation coefficient change graph.Finally,the classification results are given by K-means clustering and the characteristics of classification sites are described.
作者
崔志涛
蹇柯
方勇
CUI Zhitao;JIAN Ke;FANG Yong(School of Computer and Information,City College of Dongguan University of Technology,Dongguan 523419,Guangdong,China)
出处
《惠州学院学报》
2019年第6期22-26,共5页
Journal of Huizhou University