This paper , based on data processing, gives one model of teaching quality evaluating by means of grey clustering analysis.
在数据处理的基础上，利用灰色数学及聚类分析的方法给出了一种教师教学工作质量评估的模型。
Attribute means clustering is more robust than fuzzy means clustering by theoretical analysis and numerical example.
通过理论分析，属性均值聚类是比模糊均值聚类更稳健的聚类方法。
By means of analyzing kernel clustering algorithm and rough set theory, a novel clustering algorithm, rough kernel k-means clustering algorithm, was proposed for clustering analysis.
通过研究核聚类算法，以及粗糙集，提出了一个新的用于聚类分析的粗糙核聚类方法。
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