While clustering is beyond the scope of this article, it is important to distinguish between vertical and horizontal clusters.
尽管集群超出了本文的讨论范围，但区分垂直集群和水平集群是很重要的。
Part 1 of this series, clustering fundamentals, discusses the types of clusters, USES of clusters, HPC fundamentals, and reasons for the growth of clustering technology in High Performance Computing.
本系列的第1篇集群基础讨论了集群的类型、用途、HPC基础以及集群技术在HPC领域变得更加流行的原因。
Select 3 as the maximum number of clusters and Kohonen as the clustering algorithm.
选择3作为集群的最大值并用Kohonen作为集群算法。
The second query item is a table with information about the clusters of the clustering model that has been created during the find deviation run.
第二个查询项是一个表，其中包含关于集群模型的集群的信息，这个集群模型是在finddeviation运行期间创建的。
This part introduces the different types of clusters, USES of clusters, some fundamentals of HPC, the role of Linux, and the reasons for the growth of clustering technology.
本文是两篇系列文章中的第一篇，讨论了集群的类型、用途、HPC基础、Linux在HPC中的角色以及集群技术日益增长的原因。
Enter the SQL code to return the clusters from the model, where IDMMX.OUTLIERMODEL is the name of the clustering model generated during the "find deviations" run.
输入SQL代码，以返回模型中的集群，其中IDMMX .OUTLIERMODEL是“finddeviations”运行期间生成的集群模型的名称。
The advanced enterprise cluster option provides ready-to-use clustering to speed deployment of Lotus Quickr clusters.
Advancedenterprisecluster选项提供开箱即用的集群，以加速LotusQuickr集群的部署。
Third, I introduced clustering, which can be used to create groups (clusters) of data from which you can identify trends and other rules (BMW sales in our example).
我介绍的第三种技术是群集，可用它来创建数据组(群集)并从中识别出趋势和其他规则(在我们的例子中，即BMW的销售)。
Clustering denotes a data mining technique that groups data records into clusters of pair-wise similar records by their properties.
集群是一种数据挖掘技术，这种技术根据数据记录的属性将相近的数据记录指定到集群中。
Clustering together documents in a context aware method enables you to choose to focus on specific clusters and stories without needing to wade through a lot of unrelated ones.
将已知方法语境中的文档聚类(Clustering)有助于把注意力集中到某些特定的聚类和内容上，从而避免在无关的内容上浪费精力。
Other clustering solutions, such as Microsoft Clusters (Wolfpack), provide failover of databases to other cluster members using only a single instance of the database.
其他集群解决方案，比如MicrosoftClusters (Wolfpack)，也提供数据库故障转移，但其转移目标是使用数据库的单个实例的集群成员。
One of the most interesting things about clustering is that you can build Linux-based clusters with minimal effort if you have basic Linux installation and troubleshooting skills.
有关集群最有趣的事情之一是，如果我们有基本的Linux安装，并且具备一定的故障排除的技能，只需要很少的努力就可以构建基于Linux的集群。
Clustering is the process of grouping the physical or the abstract object set into classes or clusters.
所谓聚类，就是将物理或抽象对象的集合划分成为由类似的对象组成的多个类的过程。
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。
With strong ability of discovery of arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining.
基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用。
The transmissions of rare earth-doped polymers which uniformly doped (without clusters) and clustering were studied.
研究了均匀掺杂(无团簇)及存在团簇现象的稀土掺杂聚合物光纤材料的透射率。
For many clustering algorithms, it is very important to determine an appropriate number of clusters, which is called cluster validity problem.
对于许多聚类算法，决定合适的聚类数目至关重要，这称为聚类有效性问题。
We choose at each step the merging of clusters that results in the greatest increase (or smallest decrease) of clustering validity index.
算法每步合并两个簇，使有效性函数值增加最大或减小最少。
Based on the performance tests, clustering results will no longer be restricted by the number of clusters and initial center.
通过对系统的性能测试，新的自适应聚类索引算法，聚类的效果不再受到聚类个数和聚类中心点的限制。
The proposed algorithm, TABU-Clustering, is com - posed of three stages: minimum spanning tree clustering, recombination of clusters and tabu search optimization.
该算法包括三个阶段：最小生成树聚类、聚类簇重组和禁忌搜素优化。
Clustering techniques usually have to assign the number of clusters, but whether the result really reflects the classification of users needs verification on the validity of cluster.
聚类技术通常必须指定一个聚类个数，这样给出的聚类结果是否合理，是否真正反映了用户群的分类就需要进行聚类有效性的验证。
DBSCAN is a density based clustering algorithm that can efficiently discover clusters of arbitrary shape and can effectively handle noise.
DBSCAN是一种基于密度的空间聚类算法，在处理空间数据时具有快速、有效处理噪声点和发现任意形状的聚类等优点。
The product clusters' competition advantage of high-new technology in advanced cities of Changjiang Delta over industial clustering of high-new technology in China becomes more and more visible.
长江三角洲先进城市在我国高新技术产品集群中的竞争优势日趋显现。
The result and efficiency of method, in which first clustering and then enumerating all the possible cases, were greatly affected by the number of clusters.
先聚类后枚举所有划分的方法，聚类个数的确定会很大程度影响计算结果和运行效率。
Cluster validity index is used to scale the validity of clustering, and determine the number of clusters.
聚类有效性指标既可用来评价聚类结果的有效性，也可以用来确定最佳聚类数。
Using maximum likelihood criterion in clustering algorithms, the clusters have spherical or ellipsoidal receptive fields and match the distributes of patterns better.
采用最大似然准则的聚类算法其类别接受域为球形或椭球形，可以与模式的分布匹配更好。
Using maximum likelihood criterion in clustering algorithms, the clusters have spherical or ellipsoidal receptive fields and match the distributes of patterns better.
采用最大似然准则的聚类算法其类别接受域为球形或椭球形，可以与模式的分布匹配更好。
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