基于量子自组织网络的Web文本自动分类方法

Document Automatic Classification Method Based on Quantum Self-organization Characters Mapping Network

针对Web信息挖掘中的文本自动分类问题,提出了一种基于模糊特征向量和量子自组织特征映射网络的分类方法。该方法在特征提取时充分考虑了特征项在文档中的Web位置信息,构造出模糊特征向量,使自动分类原则更接近手工分类方法。

Aimed at problems of documents classification in data mining, a classification method is presented based on quantum self-organization characters mapping network. The feature Web information of its locality in the document is considered while the features are extracted and the fuzzy Eigenvector is constructed.