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利用改进的K-means算法实现文献著者人名消歧
引用本文:朱亮亮.利用改进的K-means算法实现文献著者人名消歧[J].人天科学研究,2013(5):63-66.
作者姓名:朱亮亮
作者单位:武汉大学信息管理学院,湖北武汉430072
摘    要:文献著者消歧是人名消歧的一种,近年来引起了学术界的广泛关注。其中,文献聚类方法是文献著者消歧的重要方法,但其实验效果往往不佳。基于此,对文本聚类K—means方法进行改进,并在此基础上来实现文献著者消歧。实验结果表明,改进的K—means算法能有效提高文献著者消歧的实验效果。

关 键 词:文献著者  人名消歧  文本聚类  K—means算法

Research on Name Disambiguation Based An Improved K-means Algorithm
Abstract:Names disambiguation of document authors is a kind of Name ambiguity, which has attracted wide attention. And text clustering method is an important way of names disambiguation of document authors. However, the experiment doesn't achieve any good result. To solve author ambiguity, a new improved K-means algorithm is proposed. Theory a- nalysis and experimental results demotestrate that the improved algorithm can enhance the disambiguating performance.
Keywords:Document Authors  Name Disambiguation  Text Clustering  K-rneans Algorithm
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