关键词: 粒计算, 聚类, 关联规则, Web文档

Abstract: In this paper，a method of Web document clustering based on granular computing（WDCGrc） is presented.The method computes the weight value of the words in documents by adopting the TF-IDF principle.Meanwhile，combinative ways defining documents threshold and average weight value are adopted to reduce dimensions and extract the keywords in each document.The paper establishes the transformation between the keywords in documents and the binary granules，and adopts the algorithm of association rules based on granular computing to obtain frequent itemsets between documents.These frequent itemsets form initial clusters.The initial clusters are optimized through the algorithm of optimization and the clustering result is obtained.The experiment shows that the method is practical and feasible，with good quality of clustering.

Key words: granular computing, clustering, association rules, Web documents