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A Vibrating Method Based Cluster Reducing Strategy

机译:基于振动方法的集群还原策略

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Clustering is the hot spot in the study of Data Mining. This paper proposed a cluster reducing strategy based on so called "Vibrating Method". The "Vibrating Method" synthesizes the merits of the "distance based method" and the "density based method" of traditional clustering algorithm. It first finds out the "core" of each cluster and then "vibrating" cores to lower the difference between the clusters and tight the relationship among the clusters. Therefore, it can be used as a cluster reducing strategy to reduce or compose the clusters after clustering.
机译:聚类是数据挖掘研究中的热点。本文提出了一种基于所谓的“振动方法”的集群减少策略。 “振动方法”综合了传统聚类算法的“基于距离的方法”和“基于密度的方法”的优点。它首先找到每个群集中的“核心”,然后“振动”核心以降低群集之间的差异,并紧密群集之间的关系。因此,它可以用作群集减少策略以在聚类后减少或构成群集。

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