%A Zhu Hengmin, Zhu Weiwei %T Study on Web Topic Online Clustering Approach Based on Single-Pass Algorithm %0 Journal Article %D 2011 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2011.12.08 %P 52-57 %V 27 %N 12 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3492.shtml} %8 2011-12-25 %X In order to get dynamics of Web information timely, an online Web topic clustering approach based on Single-Pass algorithm is researched. The clustering process of this approach is analyzed firstly,and the key problems including extracting and weight calculating of features as well as representation and modification of topic cluster are deliberated. Experiment is designed to compare the effects of different weight factor of features in title, weight calculating and normalizing methods of features and the vector dimension of topic cluster on cluster quality and time efficiency.