摘要
针对大数据时代下高校学生思想特征,建立了基于标准离差-聚类算法的综合评价模型和基于主成分分析-聚类算法的综合评价模型,通过网络问卷获取数据对两种模型进行仿真,并采用两种方法对模型进行检验,分析得出采用基于主成分分析-聚类算法的综合评价模型对高校学生的思想行为评价结果较为准确.
According to the ideological characteristics of college students in the era of big data,a comprehensive evaluation model based on standard deviation clustering algorithm and a comprehensive evaluation model based on principal component analysis clustering algorithm are established.The two models are simulated by the data obtained from the network questionnaire,and the two methods are used to test the model.The comprehensive evaluation model based on principal component analysis clustering algorithm is analyzed The results of Ideological and behavioral evaluation of college students are more accurate.
作者
马娟
刘知贵
胡茂
MA Juan;LIU Zhi-gui;HU Mao(School of Mathmatics and Physics, Southwest University of Science and Technology,Mianyang Sichuan 621010,China;Graduate School, Southwest University of Science and Technology,Mianyang Sichuan 621010, China)
出处
《大学数学》
2020年第6期29-34,共6页
College Mathematics
基金
全国高校信息资料研究会项目(SQ1803)
四川省学位与研究生教育学会项目(2019ZD05)
西南科技大学学生教育管理及改革项目(18sxb119)。
关键词
标准离差
主成分分析
聚类算法
standard deviation
principal component analysis
clustering algorithm
