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3下载:
使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the meas
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vc++6.0+gdal开发的聚类算法的COM组件,可在vb或.Net中直接调用。其中包含的聚类算法有:K-Means,ISODATA等,可对Image影像进行聚类处理。-vc++6.0 development of COM components clustering algorithm can vb or. Net direct call. Which includes the clustering algorithm are: K-Means, ISODATA, etc.
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C++中的ISODATA算法示例,ISODATA算法是一种基于统计模式识别、经典的动态聚类算法,有较强的实用性。ISODATA算法不仅可以通过调整样本所属类别完成样本的聚类分析,而且可以自动地进行类别的“合并”和“分裂”,从而得到类数比较合理的聚类结果。 -C++ examples of ISODATA algorithm, ISODATA algorithm is based on statistical pattern recognition, a classic of the dynami
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动态聚类算法,ISODATA,可以很好得达到聚类效果,用VC实现-Dynamic clustering algorithm, ISODATA, you can get to achieve a good clustering effect, with the VC to achieve
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聚类分析Matlab工具箱 Version1.0
Clustering Analysis Matlab Toolbox - Trial Version 1.0
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1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析:
...\KMeans\Main_KMeans.m 标准 K-M
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IsoData聚类算法的C++实现,可以用于实际工作和学习中-IsoData clustering algorithm C++ implementation can be used for practical work and learning
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isodata聚类算法的matlab实现-isodata achieve clustering algorithm matlab
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本例实现的动态聚类中的ISODATA算法,是一种逻辑结构较为复杂的算法,通过样本均值的迭代计算得到聚类中心。-In this case to achieve the dynamic clustering ISODATA algorithm, is a logical structure more complex algorithm, the iterative sample mean calculated cluster center.
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ISODATA算法是KM算法的升级版,里面加入了更多的判断,可以将聚类划分的更加准确-KM algorithm ISODATA algorithm is an upgraded version, which added more judgments can be more accurately classified clustering
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使用matlab进行聚类分析的程序,包括自适应迭代,K聚类等程序,详细用法在M文件中有说明。-Use matlab for cluster analysis procedures, including the adaptive iteration, K clustering procedures, detailed usage instructions in the M-file.
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用MATLAB实现动态聚类或迭代自组织数据分析算法(ISODATA)可实现对二维数据的聚类-Iterative Self-Organizing Data Analysis Technique(ISODATA) programed in MATLAB, for 2-D data clustering
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C实现isodata聚类算法,基于两维数据处理-C++ Achieve ISODATA clustering algorithm,Based on the two dimensional data processing
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isodata聚类算法,模式识别作业,经过修改,手动输入计算点。-isodata clustering algorithm and pattern recognition operations, has been modified manually input the calculated points.
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实现了随机点生成、C均值聚类、ISODATA聚类算法,简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
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模式识别类的ISODATA算法的一个实现对生成数据的一个动态聚类,VC++对话框形式,数据参数可调整,-Pattern recognition like an implementation of the ISODATA algorithm to generate a dynamic data the clustering, VC++ dialog box in the form, data parameters adjustable,
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isodata聚类算法用于聚类类IRIS数据,分类效果较好,运行稳定-isodata clustering algorithm for clustering classes IRIS data classification better, stable operation
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模式识别的一个小程序,ISODATA 算法聚类分析 -ISODATA algorithm clustering analysis
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模糊聚类虽然能够对数据聚类挖掘,但是由于网络入侵特征数据维数较多,不同入侵类别间的数据差别较小,不少入侵模式不能被准确分类。本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类.rar-Although capable of clustering data clustering mining, but due to network intrusion feature data dimension of more and different types of data betwee
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ISODATA算法是一种经典的聚类算法,而MATLAB则是一种现行广泛使用的数学运算工具。首先介绍了ISODATA算法,然后详细说明了使用MATLAB语言实现ISODATA算法的过程。-ISODATA algorithm is a classical clustering algorithm, which is an existing MATLAB is widely used mathematical tools. ISODATA algorithm is first introduced a
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对迭代自组织数据分析法(ISODATA)进行了改进,加快了聚类速度。-ISODATA algorithm is modified to obtain the clustering faster.
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