WEKA平台下基于DBSCAN聚类方法的西宁市城西区服务业集聚度研究  

Research on the Clustering Degree of Service Industry in the West District of Xining City Based on DBSCAN Clustering Method Under WEKA Platform

作　　者：祁永成 李小玲[1,2] 赵宏修 王璐 马燕[3] QI Yongcheng;LI Xiaoling;ZHAO Hongxiu;WANG Lu;MA Yan(School of Civil Engineering,Qinghai University,Xining Qinghai 810016,China;Qinghai Provincial Key L aboratory of Energysaving Building Materials and Engineering Safety,Xining Qinghai 810016,China;Department of Computer Technology and Application,Qinghai University,Xining Qinghai 810016,China)

机构地区：[1]青海大学土木工程学院,青海西宁810016 [2]青海省建筑节能材料与工程安全重点实验室,青海西宁810016 [3]青海大学计算机技术与应用系,青海西宁810016

出　　处：《信息与电脑》2021年第18期80-83,共4页Information & Computer

基　　金：青海省科学技术厅项目(项目编号:2019-ZJ-985Q);青海省创新服务平台建设专项(项目编号:2018-ZJ-T01)。

摘　　要：城市服务业的安排布局对市民的生活水平和幸福感有很大的影响,合理的布局能够促进城市健康发展,因此对城市服务业聚集度的研究尤为重要。本文在WEKA平台下,通过DBSCAN聚类算法,使用POI数据分析青海省西宁市城西区服务业中餐饮、购物、交通及生活服务类等方面的集聚度。实验结果表明,该地区在餐饮、购物和生活服务类方面的集聚程度较高,交通设施较其前面三者相对离散,今后规划和建设中应有效地增加交通设施。The layout of the urban service industry has a great impact on the living standards and happiness of citizens. A reasonable layout can promote the healthy development of the city. Therefore, the research on the concentration of the urban service industry is particularly important. Under the WEKA platform, this paper uses the DBSCAN clustering algorithm to analyze the concentration of catering, shopping, transportation and life services in the service industry in the west of Xining City through the use of POI data. The results show that the area is in the catering, shopping and life services category. The degree of agglomeration is relatively high, and the transportation facilities are relatively separated from the first three. In the future, the planning and construction should effectively increase the transportation facilities.

关 键 词：服务业集聚度 DBSCAN算法 WEKA 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]