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K-means聚类算法分析及在教师授课质量评价中的应用
引用本文:郭秀娟,战冬梅. K-means聚类算法分析及在教师授课质量评价中的应用[J]. 吉林工程技术师范学院学报, 2009, 25(6): 74-77
作者姓名:郭秀娟  战冬梅
作者单位:吉林建筑工程学院,计算机学院,吉林,长春,130021;吉林建筑工程学院,计算机学院,吉林,长春,130021
摘    要:K—means聚类算法是一种基于样本间相似性度量的间接聚类方法。应用K—means聚类算法,选取适当的k值,对教师授课效果进行分析,可以较好地实现量化评价与综合评价相结合,提高评价水平,为确定评价指标提供了可靠的依据。

关 键 词:聚类分析  K-means算法  授课质量评价  类中心

Analysis on K means Clustering Algorithm and Its Application in Teaching Quality of Teacher
GUO Xiu-juan,ZHAN Dong-mei. Analysis on K means Clustering Algorithm and Its Application in Teaching Quality of Teacher[J]. Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition), 2009, 25(6): 74-77
Authors:GUO Xiu-juan  ZHAN Dong-mei
Affiliation:GUO Xiu-juan, ZHAN Dong- mei ( College of Computer Science and Engineering, Jilin Architectural and Civil Engineering Institute , Changchun Jilin 130021, China)
Abstract:K-means clustering algorithm is an indirect clustering algorithm, which is based on comparability measurement of sample. We apply the approach of K-means clustering algorithm to analyze teaching quality of teacher, and select appropriate k. This method achieves to combine the evaluation of quantification and that of qualification, to realize the evaluating level, and to offer the reliable basis for confirming the evaluation index in the future.
Keywords:clustering analysis  K-means clustering algorithm  evaluation of teaching quality  class-center
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