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Text Classification Using Diffusion Kernel on Statistical Manifold
Author(s): 
Pages: 339-345
Year: Issue:  2
Journal: Pattern Recognition and Artificial Intelligence

Keyword:  统计流形 扩散核 Dirichlet分布 文本分类;
Abstract: 提出Dirichlet混合多项式(DCM)流形,并利用DCM流形可与正半球流形建立同胚和等距关系的性质,通过拉回映射将正半球流形的测地距离映射为DCM流形的测地距离,从而在DCM流形上建立距离度量,构建统计流形上的Dirichlet混合多项式扩散核和Dirichlet混合多项式倒排文档频率(DCMIDF)扩散核.利用WebKB Top4和20 Newsgroups语料库上进行实验,DCM流形能比欧氏空间更能准确地描述文本.与多项式核支持向量机算法、,负测地距离核支持向量机算法相比,实验结果显示文中基于DCM扩散核和DCMIDF扩散核的支持向量机算法可取得良好的文本分类效果.
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