期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2011
卷号：2
期号：2(Version 1)
出版社：Ayushmaan Technologies
摘要：The problem of evaluating node importance in clustering has been active research in present days and many methods have been developed. Most of the clustering algorithms deal with general similarity measures. However In real situation most of the cases data changes over time. But clustering this type of data not only decreases the quality of clusters but also disregards the expectation of users, when usually require recent clustering results. In this regard Ming-Syan Chen proposed a method, which is related to calculate the node importance that is very useful in clustering of categorical data, but it has serious deficiency that is bias towards features with many outcomes. In this paper we proposed a new method evaluating of node importance by summarize rules which will be better than the Ming-Syan Chen proposed method by comparing the results.tion.
