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。
(This happens sometimes with clusters and may indicate that you should reduce the number of clusters you've created).
这种情况若在群集上发生，可能表明应该减少所创建的群集的数量。
Let's change the default value of 2 to 5 for now, but keep these steps in mind later if you want to adjust the number of clusters created.
让我们将默认值从2更改为5，若将来想要调整所创建群集的数量，就可以采用这些步骤。
In fact, by increasing the number of clusters (each with a reasonable number of members), you can form WebSphere eXtreme Scale grids to store massive amounts of data.
事实上，通过增加集群的数量(每个集群具有合理的成员数量)，您可以组建能够存储大量数据的WebSphereeXtremeScale网格。
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。
The simulation result shows that the approximation capability of the network depends on the number of clusters.
实验表明，网络的逼近程度取决于聚类数的多少。
Sequential algorithm is a straightforward cluster algorithm, and people do not have to provide the number of clusters in advance.
顺序聚类算法是一种非常直接和快速的算法，并且不需要提前确定聚类个数。
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。
The total number of clusters, drawn from a list of all sections and their population estimates, is divided by 30 to obtain the cluster interval K.
从所有的区域和它们的估计人口列表中得到总分组数，再将总分组数除以30得到分组抽样间隔k。
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。
Semithin transverse sections of sural nerve showed a decreased density of large myelinating fibers and a large number of clusters of mostly thinly myelinated axons.
腓肠神经半薄切片未见明显洋葱球样结构形成，可见有髓纤维密度明显减少，大量薄髓鞘有髓神经纤维和有髓神经纤维再生簇形成。
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。
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。
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