New clustering indexes (none in this case).
新的聚类索引(在这个案例中没有)。
Clustering is a basic form of data mining.
聚类是数据挖掘的基本方法之一。
Plus, a bug fix for the clustering support.
另外,还有一个对集群支持的bug修复。
What is clustering, and why would you do it?
什么是集群,为什么要实现集群?
Clustering is an important data mining form.
聚类是一种重要的数据挖掘形式。
Clustering is a major method of data mining.
聚类是数据挖掘中的主要方法。
Prepare for the test migration and clustering.
为测试迁移和集群做准备。
For example, let's consider session clustering.
例如,让我们考虑一下会话集群。
All ADCs have some kind of clustering mechanism.
所有adc都有某种类型的集群机制。
The clustering analysis of satellite nephogram.
基于卫星云图的聚类分析。
Question: When will clustering support be added?
问:何时增加集群支持?
In fact, it is a new method of fuzzy clustering.
实际上,它是一种新的模糊聚类的方法。
Data clustering offers a solution to this problem.
数据集群为这个问题提供了一个解决方案。
What's more, you get the clustering software for free!
更重要的是,您可以免费获得集群软件!
But I doubt we will have full clustering ready by 1.0.
但是我怀疑到1.0版时我们是否会有完整的集群支持。
Data clustering is an important problem in data mining.
数据聚类是数据挖掘中的一个重要课题。
Clustering has historically been a hard problem to solve.
集群一直以来都是难以解决的问题。
Clustering method is the core of data mining technology.
聚类算法是数据挖掘的核心技术。
Clustering is a fundamental operation in image processing.
聚类是图像处理中的一个基本操作。
At this point, we are ready to run the clustering algorithm.
至此,我们已经可以运行这个群集算法了。
Basically there is fuzziness in the procedure of clustering.
这些算法在聚类过程中存在模糊性。
A simple example of clustering was given in the introduction.
集群的一个简单范例在引言中给出了。
The method and principle of clustering analysis are expounded.
阐述了聚类分析的原理和方法。
The trick is to replicate only a few times a day with clustering.
这里的使用诀窍在于,使用集群可以每天只复制很少几次。
We propose a data mining model based on clustering and rough set.
提出了一种基于聚类和粗糙集的数据挖掘模型。
This paper provides a model designment of text clustering system.
本文提出了一种文本聚类系统原型的设计。
Shot clustering is an important aspect of video content analysis.
镜头聚类是视频内容分析的重要途径。
Domino clustering is accomplished entirely at the application level.
Domino集群完全是在应用程序级实现的。
The paper applies the clustering method in image recognition system.
论文将聚类方法应用于图像识别系统中。
Clustering is one of the most important research in data mining area.
聚类是数据挖掘领域的重要研究内容之一。
应用推荐