The cluster research and analysis of Chinese higher education input and output - Based on the principle of K-means
In order to analyze and research the development of Chinese higher education, using statistical analysis method, established two cluster models that are based on K-means algorithm. In the process of analyzing and studying, we take the data that were published by National Bureau of statistics of China. These data were about Chinese higher educations input and output. Using the chart analysis methods, the macroscopical analysis and research about Chinese higher education is get. There is a defect in the chart analysis method. So we use the principles of K-means as an intermediary platform, thus the ordered data are putted into the clustering model. Finally, the cluster model about Chinese higher education input-output is established. Through analysising and studying this model in-depth, we find Chinese higher educations advantages and disadvantages, so we put forward specific ideas and suggestions for Chinese high educations development.
China high education Input-output K-means Cluster
Jian-feng Liu
ChongQing Water Resources and Electric Engineering College, ChongQing, China
国际会议
北京
英文
209-213
2012-05-19（万方平台首次上网日期，不代表论文的发表时间）