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dc.contributor.author叶卫国
dc.contributor.author卢正鼎
dc.contributor.author王天江
dc.date.accessioned2017-11-14T01:09:10Z
dc.date.available2017-11-14T01:09:10Z
dc.date.issued2004-12-30
dc.identifier.citation华中科技大学学报(自然科学版),2004,(12):10-11,36
dc.identifier.issn1000-8616
dc.identifier.otherHZLG200412001
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/140064
dc.description.abstract研究并提出了基于Hyperlink聚类的分类算法 ,它不需要分析Web文档内容 ,只根据Web图来聚类 .算法性能比传统文本分类方法有很大提高 ,大大增强了网页分类的能力和效率 ,适合于海量网页分类 .实验表明基于Hyperlink聚类的分类算法 ,应用于Web文档信息分类 ,比传统的文本分类方法更加有效 .
dc.description.abstractThis paper proposed a Web classification method based on Hyperlink clustering. It was not necessary to analyze the content and was more appropriate in huge Web page categorization than the traditional text clustering. It was showed that the application of classification method based on Hyperlink clustering to Web clustering was more effective and precise than the term-based clustering method.
dc.description.sponsorship国家高性能计算基金资助项目 (0 0 30 3)
dc.language.isozh_CN
dc.subject网页分类
dc.subject超链接
dc.subject聚类
dc.subject中心点
dc.subjectWeb classification
dc.subjecthyperlink
dc.subjectclustering
dc.subjectcentroid
dc.title基于Hyperlink聚类的网页分类研究
dc.title.alternativeStudy of Web classification based on hyperlink clustering
dc.typeArticle


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