What is the translation of " CLUSTERING " in English?

• clustering

Examples of using Clustering in Chinese and their translations into English

Clustering：存储的共享。
Wildcard: Shared storage.

此过程也用于Spectralclustering。
This procedure is also used in Spectral clustering.

一种次要的非监督学习类型称之为聚合（clustering）。
A second type of unsupervised learning is called clustering.

这两个过程称为Rank-OrderClustering（ROC）。
His procedure is called rank order clustering(ROC).

一种次要的非监督学习类型称之为聚合（clustering）。
Here's an example of an unsupervised method called clustering.

星巴克是通过聚合(clustering)特意这样做的。
Starbucks has done this intentionally, through clustering.

J2EEclusteringpart1群集对于好的网站设计是至关重要的;
Clustering technology is crucial to good Website design;

一种次要的非监督学习类型称之为聚合（clustering）。
A common type of unsupervised learning, it's called clustering.

软聚类又称为模糊聚类fuzzyclustering）。
Soft clustering: also known as fuzzy clustering.

Evaluationofclustering：了解关于评估集群的更多信息。
Evaluation of clustering: Learn more about evaluating clustering.

HAMMER2尚不支持multi-volume或者clustering，尽管它存在命令。
HAMMER2 does not yet support multi-volume or clustering, though commands for it exist.

BusinessContinuityClustering具有以下优点：.
Formal business continuity programme has the following advantages:.

更多细节可以参考论文FaceNet:AUnifiedEmbeddingforFaceRecognitionandClustering。
Facenet: A unified embedding for face recognition and clustering.

加入了一个新增的层用于在网络结构中进行“语义聚合”（semanticclustering）。
Adds an additional layer that performs“semantic clustering” to this network architecture.

疾病预防控制中心于5月23日开始调查，在识别一个“unusualclustering"海德堡沙门氏菌病例。
The CDC began its investigation on May 23, after recognizing an“unusual clustering” of Salmonella Heidelberg cases.

Ademoofthemean-shiftclusteringalgorithm:带有3个类的合成2D数据集上的均值漂移聚类。
A demo of the mean-shift clustering algorithm: Mean Shift clustering on a synthetic 2D datasets with 3 classes.

基于花瓣的度量值，我们将使用3-meansclustering方法将数据点聚集成3组。
Based solely on petal measures, we are going to cluster the data points into three groups using 3-means clustering..

ClusteringCoefficient是社交网络中的一个重要的度量标准，它显示了一个节点周围的社区之间的紧密程度。
Clustering Coefficient, an important metric in a social network, shows how much community around one node is tightly connected.

高可用性集群（High-availabilityclustering）使用多个机器来为某个服务或某组服务提供额外的可靠性。
High-availability(HA) clustering uses multiple machines to add an extra level of reliability for a service or group of services.

FailoverClustering：这些改进旨在更轻松地配置服务器群集，同时对数据和应用程序提供保护并保证其可用性。
Failover Clustering: Improvements are aimed to makes it easier to configure server clusters while providing protection and availability of your data and applications.

所以classification也常常被称为supervisedlearning,而clustering就被称为unsupervisedlearning。
Classification is known as supervised learning where as clustering is known as unsupervised learning.

MicroFocusBusinessContinuityClustering不仅能消除停机时间，它还能自动化配置和管理您的业务连续性解决方案。
Business Continuity Clustering not only eliminates downtime, but it also automates the configuration and management of your business-continuity solution.

这些指标详细介绍了Classificationmetrics,Multilabelrankingmetrics,RegressionmetricsandClusteringmetrics.。
These metrics are detailed in sections on Classification metrics, Multilabel ranking metrics, Regression metrics and Clustering metrics.

为了演示该技术，作者选择了两个基于时间的示例，并将其结果与传统的机器学习方法进行了比较，例如k-meansclustering：.
To demonstrate the technology, the authors chose two time-based examples and compared their results with traditional machine-learning methods such as k-means clustering:.

理论上，主题模型（像LDA）更有兴趣研究这种情况，将其作为k-meansclustering的替代方案--Greenplum可以在数据库中完成这两项工作。
Theoretically, Topic Models(such as LDA) are interesting to study in this context as an alternative to k-means clustering- Greenplum can do both in-database.

这是一种被称为Fast-GreedyModularity-Maximization(快速贪婪模块性最大化)的算法，这种算法在一定程度上类似于上面描述的agglomerativehierarchicalclusteringalgorithm(集聚层次聚类算法)。
This is an algorithm called Fast-Greedy Modularity-Maximization, a kind of analogue to the agglomerative hierarchical clustering algorithm described above.