关键词: 距离计算, 文本表示, 多向量, 文本聚类

Abstract: Document clustering is an important task of natural language processing and is widely applicable in areas such as information retrieval and web mining.The representation of document and the clustering algorithm are the key issues of document clustering.In order to improve the precision of distance calculation，this paper put forward a novel border distance based document clustering approach，which chooses the average of distances between documents at the border of different clusters as the similarity between this pairwise of clusters and takes advantage of the border information of the clusters.Considering the contribution of different kinds of terms，documents are represented by multi-vector.Experimental results of different corpus have shown that the proposed approach outperforms other widely used hierarchical clustering methods.

Key words: distance computation, document representation, multi-vector, document clustering