The cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.
在聚类的过程中簇间距离计算的准确性是影响算法性能的重要因素。
In this research hierarchical clustering algorithm is used with a newly defined criterion function, and it can cluster data without known cluster number.
文章采用分层聚类算法，定义了新的准则函数，同时解决了确定星座点实际位置和星座点数目的问题。
As an agglomerative hierarchical clustering algorithm, CURE firstly employs the method of representing clusters by selecting some "representative points".
CURE算法是一种凝聚的层次聚类算法，它首先提出了使用多代表点描述簇的思想。
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