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Computer & Telecommunication  2016, Vol. 1 Issue (5): 57-61    DOI:
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An Improved GHSOMAlgorithm for Text Clustering
Chen Lin
Fujian University of Traditional Chinese Medicine
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Abstract  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.
Key wordstext clustering      growing hierarchical self-organizing map      SOM     
Published: 13 November 2017
ZTFLH:  TP181  

Cite this article:

Chen Lin. An Improved GHSOMAlgorithm for Text Clustering. Computer & Telecommunication, 2016, 1(5): 57-61.

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http://www.computertelecom.com.cn/EN/     OR     http://www.computertelecom.com.cn/EN/Y2016/V1/I5/57

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