Clustering Method for Mining Association Rules
关联规则发现中的聚类方法

MARC algorithms are proposed to apply clustering analysis to other fields.It integrates clustering into association rules discovery to reduce the size of data sets.It also uses CS(Clustering Summary) transformation to alleviate the loss of information brought by the compression.MARC only needs to scan the database one time.The experiments with severa1 rea1 data sets have demonstrated that MARC can achieve quite well precision and high performance.