The initial clustering structure is constructed by using the minimum spanning tree method.
然后使用最小生成树方法得到聚类的初始结构；
A clustering algorithm, OPTICS, is applied to generate the clustering structure suitable for exploratory analysis.
然后用OPTICS聚类算法产生便于探索式分析的聚类结构。
Found the best parameters' combination structure of different regions, determined the latter clustering structure, and predicted the future earthquakes magnitude.
找出不同区域的有效的参量组合结构，判断后续聚类结构，对未来地震大小做出预测。
In order to solve this security problem, cognitive radio networks are divided into single-hop clustering structure, and cluster-head is designed to detect malicious nodes.
为了解决这个问题，将认知无线电网络分成单跳有簇头结构，通过簇头检测恶意节点。
The clustering technology provides a low-level messaging structure which keeps all the nodes in the cluster synchronized.
群集技术提供一个低级的信息结构，可以保持群集中所有节点的同步。
Clustering analytical means of Data Mining is combined with Intrusion Detection System and an intellectual structure pattern used in Intrusion Detection Syst.
将数据挖掘的聚类分析方法与入侵检测系统相结合，提出了一种入侵检测系统的智能结构模型。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
This method can not only exactly judge the reliability grade of the structure, but also display the subjection of various samples to different grades in grey clustering coefficient matrix.
灰色聚类法，不仅能够相当正确地判别结构的可靠性等级，而且在灰色聚类系数矩阵中显示了各样本对于不同鉴定等级的隶属程度。
A learning algorithm of subtractive clustering for RBF network is used to obtain the parameters of radial basis function so as to optimize network structure.
在RBF网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数，使网络结构得到优化。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.
由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。
In the paper, the premise structure of fuzzy model is obtained by the improved fuzzy clustering. Fuzzy inference matrices are decomposed on the basis of QR decomposition.
本文通过改进模糊聚类方法确定模糊模型的前件结构，然后对经模糊聚类得到的模糊前件推理矩阵进行QR分解。
On this basis, the paper mainly analyzes cluster-structure of the AD hoc networks and its advantages, and illustrates the concept and objectives of the clustering algorithms.
在此基础上，本文简要分析了移动自组网分簇结构及其优势，并同时说明了分簇算法的概念和目标。
A learning algorithm of subtractive clustering method for RBFNN is used to obtain the parameters of radial basis function, so that RBFNN has an optimized structure.
在RBF神经网络中采用了一种减聚类的学习算法来确定径向基函数的相应参数，从而使神经网络结构得到优化。
This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.
此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。
The fuzzy clustering analysis is used to classify the industrial structure of the 7 cities and areas of the central Yunnan Province.
运用模糊聚类分析法对云南省滇中7个市、地区的工业结构进行模糊聚类分析。
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。
The method mines information on overlap between classes, designs the tree structure and overcomes the misclassification of tree-structured SVMs based on the semi-fuzzy kernel clustering algorithm.
该方法基于半模糊核聚类算法挖掘不同类别之间的衔接和离散信息，设计树型支持向量机的树型结构，克服其差错积累问题。
In the algorithm of mesh simplification based on vertex clustering, a vertex tree is built to represent the data structure of the models by octonary subdivision.
在基于顶点聚类的网格简化算法中，通常对网格模型进行八叉剖分来建立一棵顶点树以表示整个网格模型的数据结构；
In this paper, proposed a color image clustering segmentation system based on a two-level structure, which allow the number of color and cluster centers to be determined automatically.
本文提出一种基于两层结构的彩色图像聚类系统，该系统能够自动判定颜色数目和聚类中心。
Many mobile AD hoc applications depend upon hierarchical structure, and clustering is the most popular method to impose a hierarchical structure in the mobile AD hoc Networks.
在移动自组网络中，许多应用都依赖层次结构的支持。簇结构是移动自组网络中应用最为广泛的层次结构。
To integrate the results of clustering data mining and based on visual model requirement, network structure diagram of HQDS would be drawn, gene network structure be study with RT-PCR.
结合挖掘结果，运用网络结构可视化思想构建心气虚证网络结构图，并运用逆转录聚合酶链反应(RT - PCR)探索心气虚证基因网络结构。
The fusion pattern of historical alerts clustering performs to meet various queries for network security statement by using multilevel fusion system structure.
历史报警聚类功能模块采用多级融合的体系结构，实现满足不同用户需求的网络安全状态查询。
In recent years, it is becoming popular that modeling by interaction networks and finding the internal social structure from the complex networks by graph clustering method.
近年来，以交互作用图建模并通过各种图聚类技术发现复杂网络内部隐含的社团结构已成为研究热点。
At last we deeply studies the methods of optimizing the structure of fuzzy clustering, and proposes two algorithms.
三是深入研究模糊聚类神经网络的结构优化方法，提出两种模糊聚类神经网络优化方案。
This paper elaborates basic steps of MSOL clustering routing algorithm, and designs the data structure and corresponding messages.
本文阐述了MSOL分簇路由算法的基本步骤，设计了算法相应的数据结构和报文。
The results of these analyses showed that the QSO's are most likely to be clustering and with a cell structure in the distributions in both of these twe regions.
分析的结果表明，在所选两个天区内类星体的分布并非均匀的。类星体的分布中也很可能存在着与星系分布相似的网状结构。这一分布中的结构自然地给出存在巨洞的可能性。
Its grammar is produced by an iterative procedure, it spatially and temporally clusters the words from a domain-specific corpus. Temporal clustering can discover the fragment's syntactic structure.
该算法对特定领域的语料库进行反复的时间聚类和空间聚类，通过时间聚类发现语言片段的语法结构，通过空间聚类发现语言片段的语义类别；
Its grammar is produced by an iterative procedure, it spatially and temporally clusters the words from a domain-specific corpus. Temporal clustering can discover the fragment's syntactic structure.
该算法对特定领域的语料库进行反复的时间聚类和空间聚类，通过时间聚类发现语言片段的语法结构，通过空间聚类发现语言片段的语义类别；
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