Method Weighted Hierarchical Clustering method was used.
方法基于加权的层次聚类方法。
The hierarchical clustering method is applied to deal with the problem that the solution of MLS-SVM is lack of sparseness.
运用谱系聚类方法解决多核最小二乘支持向量机的解缺乏稀疏性的问题。
Gaussian Mixture Density Modelling and Decomposition (GMDD) is a hierarchical clustering method based on robust statistical theory.
高斯混合密度降解模型(GMDD)是一种基于稳健统计理论的层次聚类方法。
Then it combines the sub-clusters with higher similarities in the hierarchical clustering method and gets the final clustering result.
再按照层次聚类的方法，合并连接相似度高的子簇，得到最终的聚类结果。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify differ...
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify different types of emergency materials reserve pattern finally.
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
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。
A new method and corresponding numerical procedure were introduced to estimate scaling exponents of power-law degree distribution and hierarchical clustering function for complex networks.
提出一种估计复杂网络幂律度分布和层次聚集函数标度指数的新方法，并给出求解这些指数的数值算法。
Hierarchical clustering analysis method is one of the essential mathematic methods for classifying and locating problems, which usually exist in produce practice.
在生产实践中经常遇到分类与布点的问题，系统聚类分析方法是分类布点决策的主要数学方法之一。
In this paper a method of face recognition based on clustering algorithm and hierarchical support vector machines is presented.
提出一种基于聚类算法和层次支持向量机的人脸识别方法。
As an agglomerative hierarchical clustering algorithm, CURE firstly employs the method of representing clusters by selecting some "representative points".
CURE算法是一种凝聚的层次聚类算法，它首先提出了使用多代表点描述簇的思想。
Based on inherent properties of data sets, a method with hierarchical clustering is being proposed for the detection of anomalous data.
从数据自身的性质出发，提出了一种应用谱系图进行异常数据检测的方法。
The cluster distance computing method is the key issue affecting the performance of hierarchical clustering algorithm.
在聚类的过程中簇间距离计算的准确性是影响算法性能的重要因素。
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。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
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