基于中心法的多层次文本分类方法的研究

中心法运算速度快，效率高，而多层次分类器能有效地应对较多类别的分类任务，为此，提出了基于中心法的多层次分类法，通过分析大量类别之间的关系，把类别组织成树状结构，并在特征选择时，根据层次结构特色采取去根处理，在分类时采用中心法来进行分类。经过实验，与一般的层次分类算法、平面分类算法进行比较，该分类法具有较好的性能。

Research on a hierarchical text categorization method based on centroid

Centroid-based methods is a high efficient class of methods for text categorization,and hierarchical classification can deal with the classification task of the many categories efficiently.So this paper presents a new approach that combines these two methods,through analyzing the relationship between many classis,organizing the categorize into a tree structure,reducing each word to its root to decrease the effect of word variations on the classification,and automatically classifies a document into one or more predefined categories using centroid-based method.Finally,the experiment results show that the new approach,proposed in this paper,outperforms the flat or generic hierarchical methods with improved accuracy.