计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (12): 191-193.

• 工程与应用 • 上一篇    下一篇

K-centers聚类算法在教学评估中的应用

高峰   

  1. 复旦大学软件学院
  • 收稿日期:2006-09-01 修回日期:1900-01-01 出版日期:2007-04-20 发布日期:2007-04-20
  • 通讯作者: 高峰

The Application of K-centers Clustering Algorithm to Teaching Evaluation

  • Received:2006-09-01 Revised:1900-01-01 Online:2007-04-20 Published:2007-04-20

摘要: 考虑不同出现频率的可分类属性值对聚类中心的影响,通过重新定义聚类中心和距离,提出一种新的聚类算法K- centers,这种算法能够有效处理可分类和混合类型数据。在此基础上,将K-centers应用于课程教学评估,分析不同类型课程的特点,为评估教学提供了参考。

关键词: 聚类分析, K-centers, 混合类型, 教学评估

Abstract: Considering the effect of attribute values with different frequencies on clustering centers and applying a new centroid and distance measurement, a hard and fuzzy K-centers clustering algorithm is proposed to handle mixed-type data sets. Moreover,the algorithm is used to cluster different teaching courses and analyze the teaching characteristics of the courses in a university,which help improve teaching management.

Key words: cluster analysis, K-centers, hybrid category, teaching evaluation