摘要
本文研究了传统的凝聚层次聚类算法和k-means聚类算法及其它们的改进算法,并将他们结合起来提出了混合文本聚类算法,该算法可以挖掘出用户感兴趣的内容。
This paper studies a traditional hierarchical clustering algorithmk-means clustering algorithm and their improvement algorithm,and puts forward to combined text clustering algorithm by combining them,this algorithm can find the contents that the user is interesting for.
出处
《网络安全技术与应用》
2011年第6期23-25,共3页
Network Security Technology & Application
