Firstly, RAC and K-means clustering method are combined in this algorithm by the way of searching pre-matches feature points, which are called the cluster point set, of the unknown model.
此算法首先结合RAC和K -均值聚类方法对未知模型的特征点进行预匹配，得到的匹配结果称为聚类点集。
In this paper, cluster centre and the distance from point to the cluster centre was defined, and a dynamic analysis method for plane point set was put forword.
本文定义了聚类中心以及点到聚类中心的距离，提出了一种平面点集的动态聚类分析方法。
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