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.
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.
出处
《北京工业大学学报》
EI
CAS
CSCD
北大核心
2009年第4期561-565,共5页
Journal of Beijing University of Technology
基金
国家自然科学基金资助项目(10631070
10601064).
关键词
双聚类
关联规则
频繁集
基因表达数据
bi-cluster
association rule
frequent itemset
gene expression data
