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改进的GHSOM算法在文本聚类中的应用 被引量:1

An Improved GHSOM Algorithm for Text Clustering
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摘要 信息时代,文本信息极其巨大。本文运用一种改进GHSOM算法进行文本聚类,该算法具有显著的文本聚类能力,能够将文本的相似性用多种手段表现。实验结果表明改进GHSOM算法整体上是优于SOM算法,它的先进性主要体现在更短的计算时间,并提供更丰富的有序性表达能力。 In the information era, the text information is very great. An improved GHSOM algorithm for text clustering is presented in this paper. This algorithm which has obvious text clustering ability can use a variety of means to show the similarity of text. The experimental results show that the improved GHSOM algorithm is better than SOM algorithm on the whole, and its advanced nature is mainly reflected in the shorter computation time and more expression.
作者 陈林
出处 《电脑与电信》 2016年第5期57-61,共5页 Computer & Telecommunication
关键词 文本聚类 成长型分级自组织映射 SOM text clustering growing hierarchical self-organizing map SOM
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