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模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一．经典FCM算法理论和应用的研究已经相当成熟，Bezdek业已证明算法的收敛性［6］，许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等)．但是传统FCM算法处理的是普通数据集，不能直接处理区间数，得到的聚类原型也不是区间数．针对区间数，一种直觉的方法是分别对左区间值和右区间值作FCM，并把得到的聚类原型分别作为区间型聚类原型的左右区间值，但这种方法已经被证明是行不通的［6］-fuzzy c-means cluster
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The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Clustering algorithms
- Evaluation with cluster prototypes
- Validation
- Visualisation
- Example
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计算多重分形非趋势波动分析matlab程序,包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包括AHP，因子分析，回归分析，聚类分析。- Calculation multifractal detrended fluctuation analysis matlab program, Including the final calculation of the compressed image peak signal to noise ratio and compression of the so
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该程序为聚类分析Matlab程序，简单好用，谢支持(The program for the cluster analysis Matlab procedures, simple and easy to use, thanks to support)
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Including AHP, factor analysis, regression analysis, cluster analysis, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Single path or multipath Rayleigh fading channel simulation.
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matlab development toolbox support vector machine, Including AHP, factor analysis, regression analysis, cluster analysis, Is a practical method of path planning.
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FCM聚类分析matlab代码可进行模糊c聚类分析！(FCM clustering analysis of matlab code for C fuzzy cluster analysis!)
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进行图像像素的聚类分析，采用k-mean聚类分析，速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
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Including AHP, factor analysis, regression analysis, cluster analysis, matlab wavelet analysis program, Complete set content, basic hyperspectral image processing.
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Course designed to prepare the matlab program code, wolf calculated Lyapunov exponent, Including AHP, factor analysis, regression analysis, cluster analysis.
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It uses a pulse of consumer law, This is the second energy entropy matlab code, Including AHP, factor analysis, regression analysis, cluster analysis.
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Filtering summation way broadband beamforming, Matlab wavelet analysis on complex, Including AHP, factor analysis, regression analysis, cluster analysis.
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结合具体案例介绍了聚类分析的matlab具体实现，包括系统聚类，k聚类(The matlab implementation of cluster analysis is introduced in detail)
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K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each obse
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