A fuzzy ellipsoid-based clustering method is applied to classify cannons.
针对火炮散布椭圆特性，采用一种基于模糊椭圆的聚类方法。
This paper presents a grid - based clustering algorithm for multi - density (GDD).
提出了一种多密度网格聚类算法gdd。
The ant - based clustering algorithm has currently applications in the data mining community.
基于蚁群算法的聚类算法已经在当前的数据挖掘研究中得到应用。
And then in MTM system, we get region color features from the proposed color density-based clustering.
然后在MTM系统中，利用颜色密度聚类的方法得到区域颜色的特征。
A new intersection-based clustering combination algorithm was presented, which imitates the ways of voting.
提出一种基于交集的聚类组合算法，借鉴了选举投票的思想。
Based on the visual sampling principle, the generalized visual sampling based clustering approach VSC is proposed.
基于视觉采样原理，该文提出了一般化的视觉采样聚类方法VSC。
This algorithm has all the merits of the existed density-based clustering algorithm and can deal with the date effectively.
该算法既保持了一般基于密度算法的优点，也能有效地处理分布不均匀的数据。
QBC algorithm is proposed and query based clustering method is implemented in P2P networks directed by historical query set.
本文提出QBC算法，利用历史查询向量集作为聚类依据，在结构化P 2 P网络中实现了基于查询的文档聚类。
In this paper, a fast density based clustering algorithm is developed, which considerably speeds up the original DBSCAN algorithm.
迄今为止人们提出了许多用于大规模数据库的聚类算法。基于密度的聚类算法DBSCAN就是一个典型代表。
According to the characteristics of gene expression data, a high accurate density-based clustering algorithm called DENGENE was proposed.
根据基因表达数据的特点，提出一种高精度的基于密度的聚类算法DENGENE。
DBSCAN is a density based clustering algorithm that can efficiently discover clusters of arbitrary shape and can effectively handle noise.
DBSCAN是一种基于密度的空间聚类算法，在处理空间数据时具有快速、有效处理噪声点和发现任意形状的聚类等优点。
In this paper, it mainly researches on the intention of information retrieval in the web content access and intent of web-based clustering.
本文针对意图信息检索中的网页内容获取和基于意图的网页聚类进行研究。
With strong ability of discovery of arbitrary shape clusters and handling noise, density based clustering is one of primary methods for data mining.
基于密度的聚类算法因其抗噪声能力强和能发现任意形状的簇等优点，在聚类分析中被广泛采用。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
If this functionality is a requirement, hardware-based clustering solutions and system automation tooling can usually be configured to provide this behavior.
如果需要此功能，一般可以配置基于硬件的集群解决方案和系统自动化工具来提供这种行为。
In this paper, a framework of a mapping-based clustering approach to deal with high dimensional data is proposed, and its performance analysis is also given.
本文提出了一个处理高维数据聚类的框架，并分析了该框架的性能。
Moving forward, we are looking at integration with Amazon EC2 facilities such as SQS for message-based service wiring as well as non-multicast-based clustering.
而是向前看，我们关注与AmazonEC2设施的集成，比如用于基于消息的服务连接的SQS以及非基于多播的集群。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
MQ queue managers do not restart automatically after crashing, and in general, neither MQ clustering nor hardware-based clustering like HACMP provide this behavior by default.
MQ队列管理器在崩溃后不会自动重新启动，并且一般来讲，MQ集群和诸如 HACMP等基于硬件的集群在缺省情况下都没有提供这种行为。
Intrusion detection methods based clustering are based on distance difference, but to depend on the similarity measurement of all attributes in the same degree tend to arouse misleading.
基于聚类的入侵检测方法大都是以距离差异为基础的，而同等重要地依赖所有属性的相似性度量会引起误导。
To address this problem, a collaborative filtering based on user clustering strategies to improve the basic idea is the basis of user-based clustering of users and more interested in that.
基于此不足，在用户聚类协同过滤算法的基础上进行了改进，其基本思想是在基于用户聚类的基础上研究用户多兴趣的表示。
Realize the system based clustering algorithm part of the recommendation on collaborative filtering and evaluate it, at last gives out the result of test with real data and try to explain it.
最后利用实际网站数据对基于聚类的协同过滤推荐系统的聚类算法进行了实现，给出了系统试验结果，并对结果做出解释和评价。
Clustering based to spatial properties has proven to be highly effective at several customer sites.
基于空间属性的聚集在一些客户站点上已经被证明是非常有效的。
The clustering algorithm takes a data set and sorts them into groups, so you can make conclusions based on what trends you see within these groups.
群集算法是对一个数据集中的数据进行分组，以便您可以基于在这些组中看到的趋势得出结论。
The choice of clustering columns needs to be based on the expected query workload so the clustering supports the most common and most critical queries.
集群列的选择需要基于预期的查询工作负载以便集群能够支持最常见和最关键的查询。
These technical developments included advanced clustering support and, more recently, columnar and cell-based in-memory DBMS.
这些技术进步包括高级集群支持和最近的分栏式和基于单元的内存中dbms。
The first version was built primarily to support clustering, job scheduling, and MPI 2 based applications.
HPC Server 2008的第一个版本主要着重于支持集群、任务计划以及基于MPI2的应用程序。
Informix also remains ahead in areas such as clustering, data replication and grid-based computing.
Informix还在集群化、数据复制和基于网格的计算方面领先一步。
One of the most interesting things about clustering is that you can build Linux-based clusters with minimal effort if you have basic Linux installation and troubleshooting skills.
有关集群最有趣的事情之一是，如果我们有基本的Linux安装，并且具备一定的故障排除的技能，只需要很少的努力就可以构建基于Linux的集群。
One of the most interesting things about clustering is that you can build Linux-based clusters with minimal effort if you have basic Linux installation and troubleshooting skills.
有关集群最有趣的事情之一是，如果我们有基本的Linux安装，并且具备一定的故障排除的技能，只需要很少的努力就可以构建基于Linux的集群。
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