摘要
分析数据挖掘领域的聚类分析方法及代表算法,比较这些算法的性能,对数据挖掘中的谱系聚类进行举例说明.实践证明谱系聚类是一种有效的可用于数据预处理的离散化方法,可以快速和合理的解决粗糙集数据挖掘中数据预处理的问题.
The paper gives an analysis of the clustering methods and the representative clustering algorithms,compares and illustrates their performances in data mining. It has been proved that the problems of data preprocessing in rough set data mining can be solved rapidly and reasonably with this discrete preprocessing.
出处
《云南民族大学学报（自然科学版）》
CAS
2009年第1期85-88,共4页
Journal of Yunnan Minzu University:Natural Sciences Edition
