整群抽样又称聚类抽样(Cluster Sampling)，是将总体中各单位归并成若干个互不交叉、互不重复的集合，称之为群；然后以群为抽样单位抽取样本的一种抽样方式。
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提出一种新的基于随机抽样的网格聚类算法。
A new grid clustering method based on the random sampling is proposed in the dissertation.
一种新的抽样方法是把数据挖掘技术中的分类、聚类及离群点挖掘等应用到审计风险管理中去。
A new sampling method is proposed, which USES the latest technologies of database. It applies classification rule mining, clustering rule and outlier mining to the management of Audit Risk.
随后，在分析BIRCH算法不足的基础上，提出了一种基于抽样的聚类算法。
Next, based on the analysis of deficiency of BIRCH algorithm, we propose a new clustering algorithm based on sampling.
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