【作者】 原福永； 杨治秋； 王海霞；

【Author】 Yuanfuyong Yangzhiqiu Wanghaixia (The college of Information Science and engineering,YanShan Unversity,Qinghuangdao 066004)

【机构】 燕山大学信息科学与工程学院；

【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。探讨了典型的基于向量空间模型的文档聚类算法-k-means算法,针对它的不足提出了改进的BK-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 investigated.Typical document clustering algorithm based on vector space model is discussed in this paper,just is K-means,Because of its inefficiency,one way of improving.BK-means algorithm is 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