高校信息系统使用率聚类分析  

Clustering Analysis of the Usage Rate of Information System in Colleges

作　　者：谢日敏[1] 陈杰[2] 游贵荣[2] 

机构地区：[1]福建商业高等专科学校信息管理工程系,福州350012 [2]福建商业高等专科学校信息网络中心,福州350012

出　　处：《西安文理学院学报（自然科学版）》2016年第5期40-43,56,共5页Journal of Xi’an University(Natural Science Edition)

基　　金：2015年福建省青年教师科研项目;高校教育信息化专项"基于校园社交网络平台的应用系统架构研究"(JA15730)

摘　　要：针对高校信息化建设过程中教工对业务应用系统使用差异问题,建立教工聚类模型,促进业务推广.以高校信息系统使用率的数据为基础,利用K-Means算法聚类快速简单的优势,综合使用指标法、手肘法、直观法优化聚类个数,通过主成分分析和多维尺度分析对比实验,构建出教工信息化应用情况的聚类信息库,为高校推广信息系统及业务融合提供参考.In the process of the information construction in colleges, in order to solve the prob- lem of differences in faculty＇s usage of business application system, the clustering model was built for faculty and the business was promoted. In this paper, based on the data of the usage rate of the information system in colleges, by using of the advantages of fast and simple of the K-Means algorithm for clustering, the number of clusters was optimized by comprehensive using of the Elbow method, the index method and the intuitive method. The cluster database of facuhy＇s usage of the information technology was constructed by the principal component analy- sis, the multidimensional scaling analysis and the contrast experiment. All of above will provide a powerful reference for the promotion of information systems and the integration of business in colleges.

关 键 词：K-MEANS算法 聚类 信息系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]