Examples of using 聚类分析 in Chinese and their translations into English
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主成分可以用作多元回归和聚类分析的输入。
最常见的无监督学习方法是聚类分析。
One of the most common unsupervised learning methods is cluster analysis.聚类分析形成第8章的主题。
Clustering analysis forms the topic of Chapter 8.最后,您将探索分段建模,学习聚类分析的艺术。
Finally, you will explore segmentation modeling to learn the art of cluster analysis.聚类分析构成第7章的主题。
Clustering analysis forms the topic of Chapter 8.Combinations with other parts of speech
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因而聚类分析又称为无监督分类。
Clustering analyses also known as‘unsupervised classification'.聚类分析中，数据通过相似性或者距离来分组。
In Cluster Analysis, data is grouped according to similarities or distances between them.最常见的无监督学习方法是聚类分析。
Most unsupervised learning techniques are a form of cluster analysis.聚类分析本身不是一个特定的算法，而是要解决的一般任务。
Cluster analysis itself is not one specific algorithm, but the general task to be solved.聚类分析就是将数据划分成有意义或有用的组（簇）。
Cluster analysis divides data into meaningful or useful groups(clusters).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。
Clustering analysis is broadly used in many applications such as market research, pattern recognition, data 此外空间聚类分析显示，有4700个私人房间单位实际上是‘幽灵酒店'。
Additionally, spatial cluster analysis reveals that 4,700 private-room listings are in fact“ghost hotels” comprising many rooms in a single apartment or build.聚类分析将样本分成四个小组(C1，C2，C3，C4)。
The clustering analysis divided the samples into four subgroups(C1, C2, C3, C4).通过交互式图形的统计绘图、用于聚类分析的算法和用于大型数据集的描述性统计来探查数据。
Explore data through statistical plotting with interactive graphics, algorithms for cluster analysis, and descriptive statistics for large data sets.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。
Example 1.8 Clustering analysis can be performed on AllElectronics customer data in order to identify homogeneous subpopulations of customers.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。
Clustering analysis is broadly used in many applications such as market research, pattern recognition, data 聚类分析包括应用一个或多个聚类算法，目标是在数据集中寻找隐藏的模式或分组。
Cluster analysis involves applying one or more 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。
From the point of view of statistics, clustering analysis is a way to simplify date through data modeling.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。
Analysts typically employ some type of clustering analysis or structural equation modeling to identify segments within the data.他们还采用聚类分析的方法根据患者对常规药物的不同反应将患者划分成四种临床类别。
They also applied cluster analysis methods to sort the patients into four clinically recognizable categories with different responses to commonly used medications.聚类分析显示，疲劳往往是一个集群的症状，包括疼痛，睡眠障碍，焦虑/抑郁(4)的一部分。
Cluster analysis has shown that fatigue is often part of a 聚类分析已经广泛地用在许多应用中，包括模式识别，数据分析，图像处理，以及市场研究。
Cluster analysis has been widely used in numerous applications, including pattern recognition, data 可以在AllElectronics的顾客数据上进行聚类分析，识别顾客的同类子群。
Cluster analysis can be performed on AllElectronics customer data to identify homogeneous subpopulations of customers.聚类分析的目标就是在相似的基础上对数据进行分类。
The goal of cluster analysis is to collect data on a similar basis for classification.聚类分析发现有个地区HGE的发病率升高(相对危险度=1.8，p=0.001)。
Cluster analysis identified one area of increased HGE risk(relative risk=1.8, p=0.001).使用聚类分析是直接和快速的使用，并允许发言者被分成小组与减少偏见，从实验者。
Using cluster analysis is straightforward and quick to use and allows the speakers to be divided into groups with reduced bias from the experimenter.偏好回归可以用来确定理想位置的向量，聚类分析可以识别位置的聚类。
Preference regression can beused to determine vectors of ideal positions and cluster analysis can identify 另一类是描述性模型，通常采用聚类分析的建模技术。
The other is a descriptive model, commonly used cluster analysis modeling techniques.
