基于KNC算法的中文网页分类方法研究  

Research on Chinese Webpage Classification Based on KNC Algorithm

作　　者：李旻[1] 杜海顺[1] 王琪[2] 

机构地区：[1]河南大学计算机与信息工程学院,河南开封475004 [2]武汉大学计算机学院,武汉430072

出　　处：《河南大学学报（自然科学版）》2010年第5期529-532,共4页Journal of Henan University:Natural Science

摘　　要：针对中文网页分类问题,提出一种基于KM和CV的KNN改进算法——KNC算法.基于该方法的网页分类实验结果表明,KNC算法在保持分类质量的情况下,较大地提高了分类的速度.In this paper,an improved KNN algorithm called K Neighbor in Nearest Cluster Based Centroid（KNC） which is based on KM and CV algorithm is proposed for Chinese webpage classification.Through the experiment with Chinese webpage classifier based on this algorithm,the results show that KNC algorithm substantially improves the speed of classification,meanwhile almost completely preserves the quality.

关 键 词：网页分类 KNC KNN 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]