| 基于杂交聚类算法的学生状态分析系统研究 |
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| 引用本文： | 肖立中,胡婷,刘云翔,林振骏,吴雁林a.基于杂交聚类算法的学生状态分析系统研究[J].计算机应用研究,2012,29(6):2168-2171. |
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| 作者姓名： | 肖立中 胡婷 刘云翔 林振骏 吴雁林a |
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| 作者单位： | 1. 上海应用技术学院计算机科学与信息工程学院,上海,201418
2. 上海应用技术学院电气电子与工程学院,上海,201418 |
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| 基金项目： | 上海市教育委员会科研创新资助项目（12YZ164）；上海应用技术学院校内科技发展基金资助项目（KJ2011-03）；上海应用技术学院计算机科学与技术重点学科资助项目（1020Q121002） |
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| 摘 要： | 针对高校学生人数增多、学生信息量增大,原有的学生管理和评估模式已经不能满足需求的问题,研究了学生状态分析系统,实现了学生综合数据的采集,为辅导员与学生提供了交互的平台;针对K-均值聚类算法在全局优化中的不足,研究了基于粒子群的K-均值聚类算法对学生综合数据进行分析。通过与K-均值聚类算法、基于遗传算法的K-均值聚类算法和人工评估的结果比较可以看出,本系统对学生的状态评估更加全面和客观;同时系统提供了便于查询的视图信息反馈,帮助辅导员及时发现问题、提高工作效率。
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| 关 键 词： | 学生管理 学生状态评估 粒子群优化算法 K-均值算法 |
Student status analysis system research based on hybrid clustering algorithm |
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| XIAO Li-zhong,HU Ting,LIU Yun-xiang,LIN Zhen-jun,WU Yan-lin a.Student status analysis system research based on hybrid clustering algorithm[J].Application Research of Computers,2012,29(6):2168-2171. |
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| Authors: | XIAO Li-zhong HU Ting LIU Yun-xiang LIN Zhen-jun WU Yan-lin a |
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| Affiliation: | a. School of Computer Science & Information Engineering, b. School of Electrical & Electronic Engineering, Shanghai Institute of Technology, Shanghai 201418, China |
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| Abstract: | With the number of students and their information increasing, the original student management and evaluation pattern could not meet demand in college. This paper researched a student status analysis system, which could collect the students' comprehensive data and provide platform to communicate between counsellor and students. In view of the deficiency of global search ability for K-means clustering algorithm, this paper proposed K-means algorithm based on particle swarm optimization to analyze the students' data. Compared with those of K-means algorithm, K-means algorithm based on genetic algorithm and artificial evaluation, the results show the evaluation obtained from the system is more comprehensive and objective. The system could also offer visual information convenient to query, which helped counsellor find sticking point timely and improve efficiency. |
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| Keywords: | student management student status evaluation particle swarm optimization algorithm K-means algorithm |
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