双聚类的关联规则挖掘方法

    Data Mining Method of Association Rule for Bi-cluster

    • 摘要: 为了使所有关联规则算法都可用于双聚类挖掘,将双聚类问题转化为关联规则的频繁集挖掘问题.在为双聚类挖掘提供大量算法的同时,不但能获得双聚类,而且还能得到额外的双聚类关联信息.基因表达数据的实验结果证明了其有效性.

       

      Abstract: In order to make all the association rule algorithms be used for bi-clustering, the bi-cluster problem has been translated into the problem of finding frequent sets in the association rule.With the advent of many algorithms for bi-clustering, the author's technique not only can obtain the bi-clusters, but also can get extra information associated with the bi-cluster.Experimental results on gene expression data show the effectiveness of the strategy.

       

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