基于聚类分析的远程开放教育滞留生研究--以宣城广播电视大学为例

On the Retention Students of Distance Open Education Based on the Clustering Analysis——Taking Xuancheng Branch for Example

利用现有的挖掘技术中的K-means聚类分析对开放教育滞留生的数据进行了分析,对开放教育中收集到的两类滞留生的数据,根据滞留的性质不同,分别设置了不同的观测变量,利用K-means聚类分析,划分出聚类中心,得出了影响学生滞留的关键性因素。

By using the K-means clustering analysis in the existing mining technology,the paper analyzes the data of the retention students of distance open education.Based on the data of two types of the retention students and the differences of the retention nature,different observed variables are set up.The key factors causing the retention are found by adopting the K-means clustering analysis and then dividing the centers of clustering.