CAJ | 학술논문

针对目前文本检索后的相关反馈信息较少用于文本聚类中的问题,根据蚂蚁觅食聚类算法的思想,将文本检索后的相关反馈信息应用到文本聚类过程中,提出一种基于蚁群算法的文本聚类算法.分析簇的结构及其生成过程,论述聚类中簇合并的规则及算法.实验结果表明,该算法具有良好的聚类效果,能有效提高查询的文本召回率.
침대목전문본검색후적상관반궤신식교소용우문본취류중적문제,근거마의멱식취류산법적사상,장문본검색후적상관반궤신식응용도문본취류과정중,제출일충기우의군산법적문본취류산법.분석족적결구급기생성과정,논술취류중족합병적규칙급산법.실험결과표명,해산법구유량호적취류효과,능유효제고사순적문본소회솔.
Text clustering is subject to more and more attention as a hot research for a long time. This paper, according to the idea of ant colony algorithm, designs a text clustering algorithm based on ant colony algorithm, analyzes the structure of cluster and generation process, discusses the rules and algorithms of merging cluster in clustering. Experimental results prove that the method has good clustering effect, and effectively improve text's recall rate of query.