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| Study on Web Topic Online Clustering Approach Based on Single-Pass Algorithm |
| Zhu Hengmin1,2, Zhu Weiwei2 |
1. Department of Information Management, Nanjing University, Nanjing 210093, China;
2. College of Economics & Management, Nanjing University of Posts & Telecommunications, Nanjing 210046, China |
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Abstract 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.
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Received: 26 September 2011
Published: 02 February 2012
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