The thesis offers an ensemble clustering method and applied it to clustering biomedical text.
本文以生物医学文本为主要研究对象,提出了基于聚类融合的方法并且应用于生物医学文本的聚类研究。
参考来源 - 生物医学文本聚类算法研究与应用·2,447,543篇论文数据，部分数据来源于NoteExpress
Taking the one-pass clustering algorithm as the basic algorithm for grouping data, the issue of clustering ensemble is investigated.
以一趟聚类算法作为划分数据的基本算法，讨论聚类融合问题。
In 2002, clustering ensemble was putted forward and got widely attention immediately, and became an increasingly hot topic.
2002年，聚类融合算法已经提出就得到广泛关注，成为聚类分析研究的新热点。
In this paper, cluster ensemble methods based on hierarchical clustering and clustering validity have been studied.
本文对基于层次聚类的簇集成方法及聚类的有效性进行了研究。
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