A multi-level document clustering algorithm was proposed based on association rules, It constructed document feature vector of topic and keyword by using a new method of document feature extraction.

• 提出了一种新的基于关联规则的多层文档聚类算法，该算法利用新的文档特征抽取方法构造了文档的主题和关键字特征向量。