【摘要】 随着网络信息的迅速增长,文档聚类技术成为了人们研究的热点课题.探讨了几种基于向量空间模型的文档聚类算法,如常见的k-means算法和凝聚层次算法,针对它们的不足提出了改进的BK-means算法和多层CFK-means算法.最后,根据一定的评价标准,得出Bk–means算法是文档聚类算法中较好的算法.更多还原

【Abstract】 With the rapid development of network information, document clustering technique has become focused problem to be inverstigated. Several document clustering algorithms based on vector space model are discussed in this paper, e.g., K-means algorithm and agglomerative hierarchical clustering algorithm. Because of their inefficiency, two ways of improving. BK-means algorithm and CFK-means algorithm are set forth. Finally BK-means algorithm is regarded as a better way of algorithm in document clustering algorithms according to certain standard of evaluation.更多还原