Two-Stage Text Clustering Based on Collaborative Clustering
WANG Ming-Wen1,2, FU Jian-Bo2, LUO Yuan-Sheng3, LU Xu3
1.School of Computer Information and Engineering, Jiangxi Normal University, Nanchang 330022 2.School of Information Management, Jiangxi University of Finance and Economics, Nanchang 330013 3.Modern Education Technology Center, Jiangxi University of Finance and Economics,Nanchang 330013
Abstract：To take full advantage of the semantic relations for text clustering and feature selection, a kind of two-stage text clustering based on collaborative clustering is proposed. The documents and the features are clustered respectively to capture the semantic relations between features and topics, and these relations are used to adjust the clustering interactively. The experimental results show that the clustering performance is effectively improved by using the relations between features and topics.
王明文，付剑波，罗远胜，陆旭. 基于协同聚类的两阶段文本聚类方法*[J]. 模式识别与人工智能, 2009, 22(6): 848-853.
WANG Ming-Wen, FU Jian-Bo, LUO Yuan-Sheng, LU Xu. Two-Stage Text Clustering Based on Collaborative Clustering. , 2009, 22(6): 848-853.
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2009, Vol. 22 
