CAJ | 학술논문

针对标题文本聚类中的聚类结果不稳定问题，提出一种基于聚类融合的标题文本聚类方法。该方法对标题文本的特征词进行筛选，将标题文本转化为特征词集合；提出基于统计和语义的相似度计算方法，计算特征词集合间的相似度；引入基于共协矩阵的聚类融合算法，得出聚类结果。实验结果表明，和传统聚类算法相比，该方法提升了标题文本聚类的稳定性。
침대표제문본취류중적취류결과불은정문제，제출일충기우취류융합적표제문본취류방법。해방법대표제문본적특정사진행사선，장표제문본전화위특정사집합；제출기우통계화어의적상사도계산방법，계산특정사집합간적상사도；인입기우공협구진적취류융합산법，득출취류결과。실험결과표명，화전통취류산법상비，해방법제승료표제문본취류적은정성。
For the title text clustering results instability problem, a title text clustering method based on clustering ensemble is proposed. It filters out the title texts’feature words, and transforms title texts into feature sets. It proposes a similarity calculation method based on statistical and semantic to calculate the similarity between feature sets. It introduces the clus-tering ensemble algorithm based on co-association matrix to get results. Experimental results show that, compared with the traditional clustering algorithm, this method improves the stability of results.