关键词: 文档分类, 局部鉴别嵌入, 简化支持向量机, 数据挖掘

Abstract: To rapidly and accurately perform document classification task，an efficient document classification algorithm is proposed by using Local Discriminant Embedding（LDE） and Simplified Support Vector Machine（SSVM） in this paper.The essential idea of the algorithm is as follows.The high dimensional document data are first projected into the lower dimensional feature space with LDE algorithm，then the SSVM algorithm is applied to classify documents in the lower dimensional feature space.Experimental results show that the proposed algorithm is of higher classification accuracy and faster running speed.

Key words: document classification, local discriminant embedding, simplified support vector machine, data mining