| 文本聚类综述 |
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| 引用本文： | 吴启明,;易云飞. 文本聚类综述[J]. 河池师专学报, 2008, 0(2): 86-91 |
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| 作者姓名： | 吴启明, 易云飞 |
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| 作者单位： | [1]河池学院计算机与信息科学系,广西宜州546300; [2]中南民族大学计算机科学学院,湖北武汉430074 |
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| 基金项目： | 广西教育科学“十一五”规划课题资助项目（编号：2006A-E004）;河池学院科研基金资助项目（编号：2007B-N004）. |
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| 摘 要： | 聚类作为一种自动化程度较高的无监督机器学习方法，近年来在信息检索、多文档自动文摘、智能搜索引擎、短文本信息处理等领域获得了广泛的应用。本文首先讨论了文本聚类（Textclustering）的应用，然后对文本聚类算法、聚类关键技术进行了综述。
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| 关 键 词： | 文本聚类 综述 降维 聚类算法 聚类评价 |
An Overview of Text Clustering |
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| Affiliation: | WU Qi-ming, YI Yun-fei( 1. Department of Computer and Information Science, Hechi University, Yizhou, Guangxi 546300; 2. School of Computer Science, South-Central University for Nationalities, Wuhan, Hubei 430074,China) |
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| Abstract: | As an unsupervised machine learning method, text clustering has been widely used in some applications such as information retrieval, automatic multi -document summarization, intelligent search engine, and the short texts information processing etc,. In this paper the application of text clustering is discussed firstly, and then some related problems, including clustering algorithm and clustering key technologies, are surveyed. |
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| Keywords: | text clustering survey dimension reduction clustering algorithm clustering evaluation- |
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