1·But as was mentioned before, you should pick a different clustering criteria for geodetic data in any case.
但是，如前所述，在任何情况下，应该为大地数据选用一个不同的聚集标准。
2·Table 1 lists and describes some typical types of data-mining clustering.
表1列出并描述了一些典型类型的数据挖掘聚集。
3·The effects of clustering the rows by their spatial properties rely on accessing just a subset of the data during query time.
按照空间属性聚集这些行的效果取决于在查询时对一个数据子集的访问。
4·The steps to add an indexed clustering column are very similar to the ones shown in Listing 8.
添加一个有索引的聚集列的步骤非常类似于清单 8 中展示的步骤。
5·Data mining commonly involves a few standard tasks that include clustering, classification, regression, and associated rule learning.
数据挖掘通常涉及到一些标准的任务，包括聚集、分类、回归分析和关联性规则学习。
1·This can be achieved through application design, server clustering, load balancing, replication, or a combination of all of these elements.
可以通过应用程序设计、服务器集群化、负载平衡、复制或所有这些方法的组合来实现此目标。
2·The purpose of clustering is to provide workload management and high availability.
集群化的目的是为了提供工作负荷管理以及高可用性。
3·Look at the other aspects like whether the solution is virtualized, and if the solution grid allows you to take advantage of clustering and workload balance.
检查其他方面，比如解决方案是否虚拟化，解决方案网格是否允许您利用集群化和工作负载平衡。
4·Figure 1 shows an example of a mixed clustering environment.
图1展示了混合集群化环境的例子。
5·The advantage of the enhanced administrative support lies in the ready-to-use experience that lets you get commonly used clustering configurations up and running in less time.
增强管理支持的优势在于其易用体验，您可以在更短的时间内设置通常使用的集群化配置并运行。