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。
And finally the effectiveness of the clustering method is evaluated by testing results.
实验结果就充分展现了算法的有效性。
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 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。
A quantitative definition is proposed at the beginning of this paper. The integral character of the state space is created using the clustering method based on ant colony.
该文首先给出了离群数据的量化定义，并用基于蚁群的聚类学习方法，产生了状态空间的整体特征。
The clustering method USES curve-fitting to implement the text clustering by auto threshold-detection means, and complete the whole clustering process through result revising phase.
该聚类算法通过曲线拟合技术来实现文本的自动阈值确定和聚类划分，并最终通过聚类间的迭代和结果修正来完成整个聚类过程。
Click Choose and select SimpleKMeans from the choices that appear (this will be our preferred method of clustering for this article).
单击choose并从所出现的各种选项中选择SimpleKMeans(这是本文中我们所期望的进行群集的方法)。
However, for the average user, clustering can be the most useful data mining method you can use.
不过，对于一般的用户，群集有可能是最为有用的一种数据挖掘方法。
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。
The practical application shows that the systematic clustering analysis is an effective method.
实际应用证明，系统化聚类分析是一种较好的聚类方法。
The new method USES DEA efficiency as a clustering standard and looks for DEA effective units step by step so as to cluster.
该方法以DEA有效为聚类标准，通过逐步寻找DEA有效单元的方法从而达到聚类的目的。
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。
At the license plate location phase, we propose a new rough localization method which based on connected area horizontal clustering.
在车牌定位阶段，本文提出了基于连通区域水平聚类的车牌粗定位方法。
Using clustering analysis method on the classification of Chinas urban air quality levels, gather into the city air quality in most similar category, analysis of causes, concluded.
运用聚类分析方法对我国城市空气质量等级进行分类，把空气质量状况最相似的城市聚成一类，分析原因、得出结论。
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。
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。
The proposed method to cluster customers is to combine response-surface method, adaptive-conjoint analysis technology and system-clustering method according to the value of customers needs utility.
综合应用响应曲面法、适应性关联分析技术和系统聚类法，提出了根据客户需求效用值进行客户群聚类划分的新方法；
The method and principle of clustering analysis are expounded.
阐述了聚类分析的原理和方法。
Based on concept space and text clustering technique as well as traditional keyword searching method, it could help users to locate the information they need quickly and precisely.
这种检索方法在文本聚类的基础上，基于概念空间并与传统的关键词检索相结合能够帮助用户快速、准确地定位所需要查找的信息。
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。
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。
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。
Clustering method is the core of data mining technology.
聚类算法是数据挖掘的核心技术。
The fuzzy clustering analytical method based on fuzzy equivalent relation has been described. The principle, model and procedure of this fuzzy clustering analytical method are illustrated.
阐述了基于模糊等价关系的模糊聚类分析方法的原理和模型，以及模糊聚类分析方法的步骤。
Then, according to the basic ideas of (traditional) net-making clustering method, the calculation steps of the clustering analysis method with linguistic similarity (matrices) is developed.
然后依据传统的编网聚类方法的基本思路，给出基于群体语言相似矩阵的聚类分析方法的计算步骤。
Then, the center of clustering could be gained by using the method of clustering and the typical sample was obtained.
然后利用聚类分析方法求得各类样本的聚类中心，得到典型样本。
Then, the center of clustering could be gained by using the method of clustering and the typical sample was obtained.
然后利用聚类分析方法求得各类样本的聚类中心，得到典型样本。
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