上海交通大学学报(英文版)
上海交通大學學報(英文版)
상해교통대학학보(영문판)
JOURNAL OF SHANGHAL JIAOTONG UNIVERSITY
2003年
2期
133-136
,共4页
蔡巍%王永成%李伟%尹中航
蔡巍%王永成%李偉%尹中航
채외%왕영성%리위%윤중항
classification algorithm%k-NN%VSM%hybrid algorithm
Classification algorithm is one of the key techniques to affect text automatic classification system's performance, play an important role in automatic classification research area. This paper comparatively analyzed k-NN. VSM and hybrid classification algorithm presented by our research group. Some 2000 pieces of Internet news provided by ChinaInfoBank are used in the experiment. The result shows that the hybrid algorithm's performance presented by the groups is superior to the other two algorithms.
