Method Weighted Hierarchical Clustering method was used.
方法基于加权的层次聚类方法。
Clustering method is the core of data mining technology.
聚类算法是数据挖掘的核心技术。
The paper applies the clustering method in image recognition system.
论文将聚类方法应用于图像识别系统中。
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 paper presents a direct clustering method through Fuzzy similarity matrix.
给出了一个利用模糊相似矩阵直接进行聚类的方法。
This is an image filter functions are realized, the main application is clustering method.
这是一个图像过滤功能的实现，主要应用的是聚类方法。
A new grid clustering method based on the random sampling is proposed in the dissertation.
提出一种新的基于随机抽样的网格聚类算法。
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。
A stochastic clustering method based on pairwise similarity of elements was utilized to cluster feature space.
利用基于元素间相似性的随机聚类方法对特征空间进行聚类。
The algorithm USES the Expectation Maximization (EM) clustering method to identify clusters and their sequences.
该算法采用期望最大化(EM)聚类分析方法来识别分类及其顺序。
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。
This should be considered a quick and non-detailed overview of the math and algorithm used in the clustering method.
如下是对群集中所用算法的一个简要的快速概览。
The experiment results have shown that the hybrid clustering method can improve the document clustering performance.
实验结果表明，该聚类组合算法能改进文档聚类的性能。
This thesis adopts the grey fixed weight clustering method to analyze and gain the efficiency grade of the best scheme.
采用灰色定权聚类方法对最佳方案进行聚类分析，得出直观的效益级别。
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。
Compared with other systematic clustering method, UPGMA would be better for the numerical taxonomy of the capsicum varieties.
比较不同的系统聚类方法，类平均法能较好适合辣椒品种的数量分类。
In this paper, a color clustering method is introduced to reduce colors and get effective color representation of image sequence.
本文介绍了一种颜色聚类的方法，在序列图象中进行颜色的量化，以获得有效的图象颜色的表征。
A new fuzzy clustering method and a distributed neural network are introduced, and the theory and their applications are stressed.
提出了一种新的模糊聚类方法，构造了分布式模糊神经网络，并重点附述了它们的原理与方法。
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。
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。
This thesis proposes a new effective scene clustering method which can automatically decide the stop point without prior knowledge.
本文提出了一种新的有效的场景聚类算法，无需先验知识，自动决定算法停止点。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
Using fuzzy clustering method analysis the case reconnaissance data, the problem of reconnaissance data automatically cluster is solved.
利用模糊聚类方法对案件侦察数据进行了分析，解决了侦察数据自动聚类分析问题。
Regionalization of the water resources in this area has been proved by using fuzzy clustering method, through which 3 types have been settled.
本文试用模糊聚类方法，对该地区的水资源区划进行探讨，初步得出3个类型的划分。
The clustering method based on partitioning is mainly included K-Means and K-Medoids; the other methods are the mutation of these two methods.
基于划分的聚类算法主要有K均值和K中心点算法，其他的方法都是这两种算法的变种。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
After introducing the traditional methods of classification and clustering, this paper gives a particular analysis of the ART-based clustering method.
本文在分别介绍了传统分类和聚类算法之后，详细分析了基于ART神经网络的聚类算法。
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