The dynamic clustering algorithm is developed to update the clusters.
最后针对数据库的更新设计了动态聚类算法。
In this thesis, we propose a dynamic clustering for target tracking in WSN.
本论文给出了无线传感器网络动态划分簇的目标跟踪协议。
The planning methods are the Weightiness method and Dynamic Clustering method.
枢纽型物流中心的规划方法采用重要度法及动态聚类法。
This function is enabled by features of the application server to support dynamic clustering techniques.
这个功能是由支持动态集群技术的应用程序服务器的特性实现的。
Up to now, dynamic clustering method is the most prevalent one in all sorts of clustering analysis methods.
目前的各种聚类分析方法中，动态聚类法是最为普遍的一种。
Proposed dynamic clustering algorithm has strong robustness in clustering of time series multi-dimensional data.
本文算法对于时序数据的聚类具有较强的鲁棒性。
So the paper researches on dynamic clustering method mostly from two aspects — static samples and dynamic samples.
本文主要从静态样本和动态样本两方面对动态聚类法进行了研究。
Then the time synchronization algorithm based on energy-efficient and hierarchical dynamic clustering is presented.
基于此，本文提出了一种能量有效的多层动态分簇时间同步算法。
Yes, GlassFish USES Shoal, the runtime dynamic clustering framework, which also forms as the basis for in-memory replication module.
没错，GlassFish使用了Shoal(运行时的动态集群框架)，它也作为内存复制模块的根基。
With full use of computer vision and fuzzy clustering analysis, dynamic clustering analysis for stored-grain pests was achieved.
综合利用计算机视觉技术和模糊聚类分析技术，实现了对粮仓害虫的动态模糊聚类分析。
A dynamic clustering algorithm was proposed based on consistent matrix of dependent function for time series multi-dimensional data.
根据时序立体数据的特点，提出了基于关联函数一致性矩阵的动态聚类算法。
At first, ISODATA dynamic clustering is imported to median filtering algorithm. The algorithm can eliminate serious yawp noise and retain image detail.
首先，本文提出一种引入ISODATA动态聚类的医学图像中值滤波算法，此算法既消除了脉冲噪声带来的干扰，又保持了图像的边缘细节。
Dynamic clustering is an Intelligent Management Pack capability that improves upon the characteristics of the WebSphere Application Server static cluster.
动态集群是一个智能管理包功能，在WebSphereApplicationServer静态集群之上进行了改进。
The law of fuzzy clustering confirms the best threshold and determines the dynamic clustering figure by data's standardization, shift and range transform.
模糊聚类法通过数据标准化，平移及极差变换、确定最佳阙值和求解动态聚类图。
This paper has proposed the localization method and the target tracking architecture based on dynamic clustering to promote the performance of target tracking.
本文提出了目标定位方法和基于动态分簇的目标跟踪架构，以提高目标跟踪的性能。
Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
据此。本文应用模糊动态聚类和模式识别相结合的方法，在人机交互解释系统上自动实现微地震相分析。
The general dynamic clustering algorithms are used by static samples. The results of clustering not only rely on the original classification, but easily get into local optimum.
一般的动态聚类算法都是针对静态样本数据的，其聚类结果不仅依赖初始分类，而且易陷入局部极小。
The concepts of high attribute dimensional information system are firstly proposed, and a new dynamic clustering method on the basis of sparse feature difference degree is presented.
针对高属性维稀疏数据聚类问题，提出高属性维稀疏信息系统概念，给出一种新的基于稀疏特征差异度的动态抽象聚类方法。
To evaluate embankment safety, this paper constructs the models obtaining subjective and objective weight of experts with the methods of fuzzy mathematics, pattern recognition and dynamic clustering.
利用模糊数学和模式识别理论以及动态聚类方法等，提出了堤防工程安全评估专家主观和客观赋权模型；
Management capabilities, such as dynamic routing rules and clustering support, have been improved.
管理功能，如动态路由规则和集群支持，也得到了改进。
Improve availability with clustering and dynamic hardware partitioning capabilities.
提高可用性与聚类和动态硬件分区能力。
Based on the theory of fuzzy clustering and subjective trust coordination model, the paper proposes dynamic definition of trust class, which provides the basis of trust evaluation between entities.
结合主观信任协作模型，引入模糊聚类理论，提出了基于模糊聚类的信任类型动态定义机制，为各主体之间的信任评估提供了依据。
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
This paper introduces a newly generalized and dynamic structure for the similarity retrieval of high dimensional feature vectors called the recursive clustering index tree.
文章提出了一种新的适用于高维特征矢量相似检索动态聚类索引树结构。
An ART2-based dynamic risk management model is proposed by using of clustering technique and neural network knowledge.
结合聚类技术和ART2神经网络技术提出一个基于ART2神经网络的动态风险管理模型。
An ART2-based dynamic risk management model is proposed by using of clustering technique and neural network knowledge.
结合聚类技术和ART2神经网络技术提出一个基于ART2神经网络的动态风险管理模型。
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