Objective: To discuss the best fuzzy clustering number of MRI brain images segmentation.
前言：目的探讨颅脑mri图像模糊聚类分割算法中最佳模糊聚类数。
Ascertainable clustering number and large training sets are vital problems of spectral clustering.
自动确定聚类数和海量数据的处理是谱聚类的关键问题。
Further more, this method can determine the best clustering number using the validity function in training progress.
同时，算法可以在训练过程中通过有效性函数自适应地确定最佳聚类数目。
Results: When fuzzy clustering number for 5-6 and fuzzy clustering validity achieved a minimum level of image processing with the best effect.
结果当模糊聚类数为5 ~6时，模糊聚类有效性函数最小，图像处理的效果达到最佳水平。
The optimal fuzzy association rules can be mined due to the optimal fixed clustering number that can be obtained by the relational competitive agglomeration algorithm.
由于关系数据的竞争聚集算法能得到优化的固定的聚类个数，因此能挖掘出优化的模糊关联规则。
Clustering WebSphere MQ servers in your server Foundation deployment has a number of advantages, including the following.
ServerFoundation部署中的集群WebSphereMQ服务器有很多优点，包括。
Keep your clustering topology simple by using the least number of servers in a cluster to meet your application availability needs.
在集群中使用最少数量的服务器来满足应用程序可用性需求，从而保持简单的集群结构。
For larger number of users, load balancing and server clustering techniques are unavoidable.
对于更大数量的用户，负载均衡和服务器集群技术就在所难免了。
There is no theoretical limit on the number WebSphere Application Server instances a super cluster can contain, but the super clustering technique should not be considered a panacea for scalability.
从理论上讲，超级集群可以包含的WebSphereApplicationServer实例的数量没有限制，但是超级集群技巧不应该作为实现可伸缩性的万能解决方案。
Though there is no theoretical limit on the number WebSphere Application Server instances a super cluster can contain, super clustering should not be considered as a panacea for scalability.
尽管在理论上并没有限制超级集群可以容纳的WebSphereApplicationServer实例的数量，但是不应该将超级集群视为实现可伸缩性的万能解决方案。
Select 3 as the maximum number of clusters and Kohonen as the clustering algorithm.
选择3作为集群的最大值并用Kohonen作为集群算法。
Over a number of recent releases, we have been rolling out version 3 of our TCMP clustering protocol.
在最近的一系列发布中，我们推出了TCMP集群协议的第三版。
A cluster validity function-based method is proposed for solving the problem of clustering for area geographical entities when the number of cluster is unknown.
为解决聚类数未知条件下面状地理实体的聚类问题，文中提出了一种基于聚类有效性函数的聚类方法。
This kind of unsupervised clustering method can search for the optimal number of output nodes automatically to get the number of textures in the 'image, and finish the automatic segmentation.
这种无监督的聚类方法能够自动搜索最佳的网络输出节点数而获取图像中的目标数，从而完成对图像的自动分割。
For many clustering algorithms, it is very important to determine an appropriate number of clusters, which is called cluster validity problem.
对于许多聚类算法，决定合适的聚类数目至关重要，这称为聚类有效性问题。
The fuzzy space and the number of fuzzy rules of this model are defined by the fuzzy clustering method and weight coefficients of the model are adjusted by the BP algorithm.
该模型利用模糊聚类技术确定系统的模糊空间和模糊规则数，利用BP算法调整模糊神经网络的权系数。
A new clustering model is established to determine the number of rolling units, then a two-phase algorithm (heuristic and simulated annealing) is developed to solve it.
建立了确定轧制单元数的一种新的聚类模型，开发出一种有效的两阶段算法(启发式算法和模拟退火算法)求解此问题。
A function for measuring clustering validity based on the fuzzy clustering algorithm is defined with which the number of fuzzy rules can be determined.
在模糊聚类算法的基础上，提出了一个衡量聚类有效性的函数，以确定模糊规则的数目。
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。
The number of types in the clustering results may be determined by different requirement.
聚类结果可按不同的要求确定类型的多寡。
Meanwhile optimization theory based HCM clustering algorithm is used to cluster sample data to determine the number of node of hidden layer, so that the efficiency of RBF network in use is high.
同时采用基于优化原理的HCM算法实现聚类过程，来确定R BF网络的隐含层节点数，使网络的利用效率较高。
Recently, people begin to apply ensemble technology to the research of clustering methods and propose a number of cluster ensemble algorithms to improve the performance of these clustering algorithms.
为了提高聚类算法的性能，近年来人们开始将集成技术应用到聚类方法中的研究工作，并且提出了一些聚类集成算法。
The way, which is to determine the number of clustering by the distance between the image feature vectors, could provide more accurate retrieval result in a shorter time.
而通过图像特征向量之间的距离来确定聚类个数的方法，能在较短的时间内提供较为准确的检索结果。
Automatic classification comprises three sections, i. e. automatic clustering, automatic grouping and automatic convertion of class number.
自动分类包括自动聚类、自动归类及类号间的自动转换三个方面。
Based on the performance tests, clustering results will no longer be restricted by the number of clusters and initial center.
通过对系统的性能测试，新的自适应聚类索引算法，聚类的效果不再受到聚类个数和聚类中心点的限制。
Fuzzy clustering is associated with comprehensive assessment in the study of sorting when the number of object is large, and we improve the method of setting up fuzzy similar matrix.
探讨了聚类分析这一重要的数据挖掘方法在综合评价中的应用，将模糊聚类与综合评价相结合以解决待评价方案数较多的排序问题，并且文中还改进了建立模糊相似矩阵的方法。
Among the large number of new plugins are an automated processing framework, dynamic filtering, new and efficient clustering methods, a machine learning module and database connectivity.
大量新的插件有：一个自动处理框架、动态过滤，新的且有效的聚类方法，一个机器学习模块和数据库连接。
The results show that, in the case of lacking priori knowledge, fuzzy clustering analysis is superior to dynamic state clustering analysis when the number of samples is small.
结果表明：模糊聚类分析法对于先验知识较少、样本量不大时，性能较佳。
Then, applies the system clustering method to divide the samples into categories and select those which contain the project to be estimate, determines the optimal number of samples.
采用系统聚类的方法，选择待估算工程的有效样本类，确定最佳样本数量。
The improved fuzzy C-means clustering algorithm has better robustness and makes the cluster results insensitive to the predefined cluster number.
改进后的模糊C-均值聚类算法具有更好的鲁棒性，且放松了隶属度条件，使得最终聚类结果对预先确定的聚类数目不敏感。
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