计算机工程2011，Vol.37Issue(17)：133-135,3.
基于NPE的Web文本分类方法研究
Research of Web Text Classification MethodBased on Neighborhood Preserving Embedding
摘要
Abstract
To efficiently resolve the high dimensional Web text classification problem, a novel classification algorithm is proposed in this paper on the basis of manifold learning. The algorithm can explore and preserve the inherent structure on high dimensional Web text space, and the classification and predication in the lower dimension feature space are implemented with K-Nearest Neighbor(KNN). Experimental results show that the algorithm achieves higher classification accuracy and stability.关键词
近邻保持嵌入算法/流形学习/文本分类/特征提取/K近邻Key words
Neighborhood Preserving Embedding(NPE) algorithm/ manifold learning/ text classification/ feature extraction/ K-Nearest Neighbor(KNN)分类
信息技术与安全科学引用本文复制引用
徐海瑞,张文生,吴双..基于NPE的Web文本分类方法研究[J].计算机工程,2011,37(17):133-135,3.基金项目
国家自然科学基金资助项目(90924026) （90924026）
