Examples of using Cluster analysis in English and their translations into Chinese
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Clustering analyses also known as‘unsupervised classification'.
Clustering analysis is broadly used in many applications such as market research, pattern recognition, data analysis and image processing.
目前，聚类分析已经在很多领域中被广泛地应用，例如应用在市场研究、模式识别、数据分析和图像处理等。The clustering analysis divided the samples into four subgroups(C1, C2, C3, C4).
聚类分析将样本分成四个小组(C1，C2，C3，C4)。Example 1.8 Clustering analysis can be performed on AllElectronics customer data in order to identify homogeneous subpopulations of customers.
例1.8聚类分析可以在AllElectronics的顾客数据上进行，识别顾客的同类子群。Clustering analysis is broadly used in many applications such as market research, pattern recognition, data analysis, and image processing.
聚类分析已广泛应用于众多应用领域，包括市场研究，模式识别，数据分析和图像处理。From the point of view of statistics, clustering analysis is a way to simplify date through data modeling.
从统计学的观点看，聚类分析是通过数据模型简化数据的一种方法。Analysts typically employ some type of clustering analysis or structural equation modeling to identify segments within the data.
分析师通常使用某种类型的聚类分析或结构方程模型来确定数据中的分段。Clustering analyses can define new syndromes- separating diseases that were thought to be the same and unifying others that have the same underlying defects.
聚类分析能判断新综合征，分离那些曾被认为是相同的疾病以及统一那些根本缺陷相同的疾病。Cluster analysis is an important human activity.
聚类分析是一项重要的人类活动。Cluster analysis is to find hidden categories.
即聚类分析的目的就是发现隐藏的类别。Cluster analysis is an important human activity.
聚类分析是一种重要的人类行为。What do you think about cluster analysis?
你对聚类分析怎么看?Classical examples include principal components analysis and cluster analysis.
经典的例子包括主成分分析和聚类分析。The most common unsupervised learning method is cluster analysis.
最常见的无监督学习方法是聚类分析。In cluster analysis, these would be called observations.
在聚类分析中，这些被称为观察报告。The most common unsupervised learning technique is cluster analysis.
最常见的无监督学习方法是聚类分析。Cluster analysis forms the topic of Chapters 10 and 11.
聚类分析是第10章和第11章的主题。Cluster analysis is useful to help speed any detailed exploration.
聚类分析有助于加速任何详细的探索。Most unsupervised learning techniques are a form of cluster analysis.
最常见的无监督学习方法是聚类分析。Cluster analysis forms the topic of Sections 10 and 11.
聚类分析是第10章和第11章的主题。
