In the LEI Administration database, in the Configuration document, we will see the Domino Clustering field enabled and other cluster-related fields properly configured by the installer (see figure 2).
在LEIAdministration数据库中，在Configuration文档中，将看到DominoClustering字段已被启用，其他与集群相关的字段已由安装程序适当地配置了(参见图2)。
Clustering analysis is a major field in data mining, which is an important method of data partition.
聚类分析是数据挖掘中的一个重要研究领域，是一种数据划分或分组处理的重要手段和方法。
Clustering is an active study subject in Data Mining. There are many algorithms of clustering that were applied in every field.
聚类分析是数据挖掘领域中一个非常活跃的研究课题，应用于各个领域的聚类算法非常多。
Clustering in the field of data mining is an important branch is being used in commercial, geological exploration, image processing, and other fields.
聚类是数据挖掘领域中的一个重要分支，正逐步运用在商业、地质勘探、图像处理等领域。
Clustering analysis is an important tool of Data Mining, and applied in many different application fields. Now, Clustering analysis has become an important research subject in Data Mining field.
聚类分析作为主要的数据挖掘工具已经被应用在许多领域，成为数据挖掘领域研究的一项重要课题。
With the expansion of the application field of clustering analysis, more and more high-dimensional and mixed-type data need to be processed.
随着聚类分析的应用领域日益扩展，越来越多高维的、混合类型属性数据需要处理。
Text clustering is an important research branch of clustering method and it is the application of clustering method used in text processing field.
文本聚类是聚类分析领域的一个重要研究分支，是聚类方法在文本处理领域的重要应用。
Clustering analysis has been used in many field of life. K-Means cluster is classic partitioning Clustering.
聚类分析已经被广泛地应用于生活中的各个领域。
Because of these deficiencies, it greatly limits the clustering algorithm in the field of GIS Application.
正是由于这些不足，大大限制了聚类算法在GIS领域当中的应用。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
Data mining is the research emphasis in the field of data warehouse and clustering analysis. It is an important technology of data mining.
数据挖掘是数据仓库领域的—个研究重点，聚类分析又是数据挖掘中的一项重要技术。
Shot clustering is an important issue in the field of video content analysis.
镜头聚类是视频内容分析的重要途径。
The number field continuation was adopted by information acquire ability sub index, and the gray comprehensive clustering coefficients of relative objects were also acquired.
将信息获取能力分指标取数域延拓，求得相关对象关于灰类的综合聚类系数。
Clustering is a major field in data mining which also is an important method of data partition or grouping.
聚类分析是数据挖掘中的一个重要研究领域，是一种数据划分或分组处理的重要手段和方法。
Texts clustering, an important field in texts processing, has great significance on research of network supervision and control, information filter and retrieval, etc.
文本聚类是文本处理的重要研究领域，对于互联网舆情监管、信息获取、信息过滤等信息内容安全领域的研究具有重要意义。
The clustering phenomenon in heavy nuclei is discussed in this paper within the relativistic mean field (RMF) approach.
用相对论平均场理论结合结团模型对重核结团现象进行了研究。
The results also showed that clustering analysis based on RGA data were generally corresponded to known pedigrees and blast field resistances of the varieties.
聚类分析表明，RGA结果与品种的系谱来源相吻合，与品种的田间抗性基本一致。
There are various applications of clustering analysis techniques in the field of image retrieval.
在图像检索领域，聚类分析技术有着广泛应用。
Computer simulation was firstly performed on the precipitation mechanism at mean-field spinodal lines in complicated system with ordering and clustering.
首次对既存在有序化又存在原子簇聚的复杂体系中平均场失稳线上合金的沉淀机制进行计算机模拟。
As an important method in the data mining field, clustering analysis has become a popular research subject in this field.
聚类分析作为数据挖掘技术中的一种重要方法，已成为该研究领域中一个非常活跃的研究课题。
Clustering analysis is an important research field of data mining, and has been widely used in industries as a kind of unsupervised learning methods.
聚类分析方法是数据挖掘的一个重要研究方向，其作为一种无监督学习方法被广泛应用于各行各业。
Clustering analysis is an important research field of data mining, through which we can find hidden knowledge behind mass data.
聚类分析是数据挖掘中的一项重要技术，通过聚类可以发现隐藏在海量数据背后的知识。
Points are moved onto the iso-surface by an iterative clustering along gradient field, where the noise and outliers are removed and defective data are repaired.
原始点云经梯度方向迭代移动后，过滤噪音和剔除离群点，并修补点云缺失数据。
Points are moved onto the iso-surface by an iterative clustering along gradient field, where the noise and outliers are removed and defective data are repaired.
原始点云经梯度方向迭代移动后，过滤噪音和剔除离群点，并修补点云缺失数据。
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