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模糊聚类挖掘方法在电子商务中的应用研究
Research of Data Mining Method Based on Fuzzy Clustering
【摘要】 系统聚类法中常用的是最小距离法、最大距离法、重心距离法、类平均距离法等,这些方法都是定义一种类与类之间的距离来进行聚类的,但在有些情况下其聚类结果不唯一。文章利用模糊关系矩阵,给出了一种新的基于模糊聚类的方法,并将这些技术应用到具体电子商务平台的数据挖掘工作中,得到了可行性验证,从而为此技术在电子商务领域的广泛应用起到了较好的示范作用。
【Abstract】 System clustering has methods of least distance, largest distance, barycenter distance, class average distance, and so on. These methods are clustered by distance between class and class, but its result is not unique under some cases. This paper has used fuzzy matrix and presented a kind of fuzzy clustering method. These technologies are applied into data mining of electronic commerce and the feasibility of data mining has been tested by experiments successfully. It has set a good example for applications of electronic commerce fields generally.
【Key words】 Data mining; Fuzzy clustering; Electronic commerce; Convergence;
- 【文献出处】 计算机工程 ,Computer Engineering , 编辑部邮箱 ,2002年01期
- 【分类号】TP393.09
- 【被引频次】20
- 【下载频次】205