Abstract: This paper proposes a new document clustering approach based on term clustering and association rules. In this approach, firstly we extract words from document collection, then construct term clustering according to AMI(Average Mutual Information) between terms, the document VSM(Vector Space Model) is represented by term clustering，then we use association rules to min the initial document clustering, finally we do the clustering analysis to get the final document clustering. The experiment results show that the performance and clustering quality of this approach are obviously improved than those of traditional methods in the document clustering process.