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应用HITS算法对文本聚类结果进行类别描述的可行性分析 被引量：2

Analysis on the Feasibility of Using HITS Algorithm to Carry Out Category Description on Text Clustering Results
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摘要 介绍HITS算法的基本思想和执行方法,提取出聚类结果中每一类的特征词,基于HITS算法客观地描述聚类分析结果,分析其可行性并进行应用尝试。实践证明利用该算法进行聚类结果特征提取切实可行。 The paper introduces the basic idea and execution method of HITS algorithm,extracts the keywords for each cluster results, describes the clustering analysis results objectively using HITS algorithm,analyzes its feasibility and carries out appplicaton attemps. The practices show that it is feasible to carry out cluster results feature extraction using this algorithm.
作者 赵悦阳 崔雷
机构地区 中国医科大学附属盛京医院图书馆 中国医科大学信息管理与信息系统(医学)系
出处 《医学信息学杂志》 CAS 2012年第12期37-41,共5页 Journal of Medical Informatics
基金 中国图书馆学会医院图书馆委员会科学研究基金项目(项目编号:Ytwjj11002) 中国医科大学第二临床学院科学研究基金资助项目(项目编号:MA17)
关键词 HITS算法 关键词提取 同被引聚类分析 聚类树图 HITS algorithm Keywords extract Co -citation clustering analysis Clustering tree
分类号 G201 [文化科学—传播学] R-5 [医药卫生]
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参考文献11

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  • 2Baker, LD, McCallum, AK. Distributional Clustering of Words for Text Classification [ C ]. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Re- search and Development in Information Retrieval, ACM, New York, NY, USA, 1998: 96-103.
  • 3Muller A, Dorre J, Gerstl P, etal. The TaxGen Framework: automating the generation of a taxonomy for a large document collection [ C]. In: Proceedings of the 32nd Hawaii Inter- national Conference on System Sciences, Maui, Hawaii, USA. 1999 : 2034 - 2042.
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医学信息学杂志
2012年 第12期

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