Method Weighted Hierarchical Clustering method was used.
方法基于加权的层次聚类方法。
Popular approaches include k-Means and hierarchical clustering.
流行的方法包括k - Means和分层集群。
Partition clustering and hierarchical clustering are two fundamental clustering methods.
划分聚类和分级聚类是两种基本的聚类手段。
The experimental data were used for similarity calculation and hierarchical clustering analysis.
用于相似度计算和聚类分析实验数据。
Objective The conditional hierarchical clustering for 1-dimensional (1-d) ordinal data was discussed.
目的介绍并讨论一种适用于一维有序样品的条件系统聚类方法。
Common approaches to unsupervised learning include k-Means, hierarchical clustering, and self-organizing maps.
无监管学习的常见方法包括k - Means、分层集群和自组织地图。
It consists of three parts: calculation of distance measures, randomized testing, and hierarchical clustering.
该算法由三部分组成：距离测度计算、随机化检验和系统聚类。
In this paper, cluster ensemble methods based on hierarchical clustering and clustering validity have been studied.
本文对基于层次聚类的簇集成方法及聚类的有效性进行了研究。
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。
The data are reduced in both horizontal and vertical directions by using hierarchical clustering and rough set methods.
通过系统聚类和粗糙集两种方法进行数据约简，使数据得到横向和纵向两个方向上的约简。
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。
Based on the hierarchical clustering framework, an effective algorithm CSP is developed to mine compressed sequential patterns.
基于层次聚类框架，设计了一种有效的挖掘压缩序列模式的算法CSP。
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。
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。
We also examine the traditional agglomerative hierarchical clustering methods using the information of content to have a thorough comparison.
我们也检验传统用文章内容为资讯的聚合阶层式分群方法以更全面比较其中差异。
An application of data mining hierarchical clustering algorithms to technical-tactics analysis of badminton match was proposed in this paper.
该文给出了数据挖掘中的层次聚类算法在羽毛球技战术分析中的一个应用。
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。
Environmental monitoring always in large tracts of land, needs large of nodes, so we use hierarchical clustering approach in routing protocols.
由于环境监测往往是对大面积区域进行的，需要大量的传感器节点，所以在设计路由协议的过程中，我们采用聚簇的方式。
Methods The chemical variables as a whole were obtained by HPLC; the classification was carried out by using the hierarchical clustering analysis.
方法采用高效液相色谱法对样品进行分析，获得反映样品整体化学特征的数据，利用聚类分析进行分类。
The Guizhou Sheldrakes among tne famous Chinese duck breeds were identified using both hierarchical clustering methods and fuzzy classification methods.
运用系统聚类和模糊聚类方法，确认贵州麻鸭在我国主要地方鸭种中的分类地位。
In this research hierarchical clustering algorithm is used with a newly defined criterion function, and it can cluster data without known cluster number.
文章采用分层聚类算法，定义了新的准则函数，同时解决了确定星座点实际位置和星座点数目的问题。
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。
This paper proposes a novel algorithm for surface-based hierarchical clustering simplification that aims to accelerate view-dependent point set rendering.
针对点曲面的视点相关绘制问题，提出了一个新的表面基层次聚类简化算法。
It implements two original algorithms specifically designed for clustering short time series together with hierarchical clustering and self-organizing maps.
它实现了两个专为短的时间序列聚类与聚类和自组织映射的原始算法。
This study, by means of multidimensional scaling and hierarchical clustering, attempts a similar classification of 17 spatial words by the deaf students tested.
以聋人大学生为被试，对17对空间词做相似性分类，用多维标度法和分层聚类法分析。
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。
This is supported by the comparison with the results of hierarchical clustering segmentation of point cloud model and K-Means clustering segmentation of mesh model.
与三维网格模型的K均值聚类分割、点云模型的谱系聚类分割的实验结果比较证实了这一点。
Objective Six familiar conditional hierarchical clustering methods were discussed, and some methods of 2-dimensional ordinal sample were selected which results were relative even.
目的探讨六种常见的条件系统聚类法的性质，并选择一到两个适于二维有序样品聚类的样品个数比较均匀的条件系统聚类法。
To recognize the posture of rat automatically during behavioral experiment, a posture recognition algorithm based on contour curvature and hierarchical clustering analysis was proposed.
为了对行为实验中大鼠的体态进行自动识别分析，提出了一种基于轮廓曲率和谱系聚类的识别算法。
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