基于模糊聚类的文本分类研究

文本分类是指在给定分类体系下,根据文本的内容自动确定文本类别的过程。如何快速地整理海量信息,对不同的文本进行有效分类,已成为获取有价值信息的瓶颈。本文用模糊聚类分析的方法对文本进行分类,较好地解决了信息的实时分类问题,在实践中收到了良好的效果。

Research on text categorization based on fuzzy clustering

Text categorization assigns new documents to pre-defined categories based on their content. It is still difficult to classify a great deal of different Chinese texts quickly and to find efficiently the useful information. Texts are classified by the method of fuzzy clustering in this paper.It has solved the problem of information classification on real time and had a good achievement in practice.