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模糊C均值聚类算法实现数据挖掘的matlab源代码-Fuzzy C-Means clustering algorithm for data mining matlab source code
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C均值聚类算法的MATLAB程序,在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功-C mean clustering algorithm MATLAB procedures, in many fuzzy clustering algorithm, fuzzy C- means (FCM) algorithm is the most widely used and successful
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该程序是基于MATLAB的模糊C均值聚类算法，该算法是MATLAB最基本的算法，对初学者很有用。-The program is based on MATLAB Fuzzy C-means clustering algorithm, which is the most basic of MATLAB algorithms, very useful for beginners.
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采用模糊C均值对数据集进行聚类的matlab代码-Matlab code for data clustering based on fuzzy c-means algorithm
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FCM模糊C均值聚类资料，用matlab编程，实用-FCM fuzzy C-means clustering data, matlab programming, practical
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基于matlab的核模糊C-means聚类算法(KFCM),不错的-Based on matlab fuzzy C- means clustering algorithm (KFCM), good
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基于matlab的核模糊C-means聚类算法(KFCM),不错的(Based on matlab fuzzy C - means clustering algorithm (KFCM), good)
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常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
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遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
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