A New Sub-topics Clustering Method Based on Semi-supervised Learing
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第一作者：Xiaodan Xu
发表时间：2012-01-01
发表刊物：Journal of Computers
所属单位：数理与信息工程学院
文献类型：期刊
卷号：Vol.7
期号：No.10
页面范围：2471-2478
ISSN号：1796-203X
关键字：Sub-topic;clustering;semantic;distance;semi-supervised;learning;k-means;clustering
摘要：Sub-topic clustering is a crucial step in multi-document summarization. The traditional k-means clustering method is not effective for topic clustering because the number of clusters k must be given in advance. This paper describes a new method for sub-to
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