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FCMDEMO displays a GUI window to let you try out various parameters
in fuzzy c-means clustering for 2-D data. You can choose the data set
and clustering number from the GUI buttons at right, and then click
\"Start\" to start the fuzzy cluste
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一个用VC++开发的采用模糊C均值聚类算法.-a VC development of the fuzzy c-means clustering algorithm.
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用 MATLAB 编写的 模糊C均值聚类法源程序
和模糊k均值聚类法源程序,比较实用。-using MATLAB fuzzy c-means clustering source and fuzzy k-means clustering source, more practical.
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实现了Fuzzy C-Mean的方法，这是一种基于模糊数学的聚类方法，很好用！-Implementation of Fuzzy C-Mean method, which is a math-based Fuzzy Clustering Method, a very good use!
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模糊聚类算法的一部分，加入了邻域信息，可以更好的分割图像-Part of fuzzy clustering algorithm, joined the neighborhood information may be a better image of the partition
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fuzzy c-means clustering programe
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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。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means al
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模糊C均值聚类算法的C++实现代码模糊C均值聚类算法的C++实现代码-Fuzzy C means clustering algorithm C++ implementation code fuzzy C means clustering algorithm C++ implementation code
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经模糊系统经常被用来对非线性系统建模，并能取得很好的效果．UE和相似规则合并的神经模糊系统建模算法-Neuro-Fuzzy System Modeling with Density—Based Clustering
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Fuzzy C means clustering
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模糊C均值聚类算法的步骤还是比较简单的，模糊C均值聚类（FCM），即众所周知的模糊ISODATA，是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C-means clustering algorithm is relatively simple steps, fuzzy C-means clustering (FCM), known as fuzzy ISODATA, is used to determine the membership of each data poi
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模糊C均值模式识别聚类算法相关的C++源程序代码-Fuzzy C-means clustering algorithm of pattern recognition related to the C source code
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FCM算法，基本的分类算法，很好用，有例子直接仿照操作。-FCM Data set clustering using fuzzy c-means clustering.
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模糊C均值聚类（FCM）的matlab代码，包括很详细的注释。适用于图像处理。-Matlab code fuzzy C-means clustering (FCM), including very detailed notes. Suitable for image processing.
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自适应模糊C均值聚类的MATLAB源代码，自适应确定聚类个数。-Adaptive Fuzzy C-Means clustering MATLAB source code, adaptive determine the number of clusters.
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模糊C均值聚类的MATLAB源代码，已经封装成函数的形式。-Fuzzy C-Means clustering MATLAB source code, has been packaged into the form of function.
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模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数--MATLAB fuzzy C-means clustering to achieve, which contains 10 MATLAB functions-
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这是遗传算法改进的模糊C-均值聚类MATLAB源代码,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终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
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遗传算法改进的C模糊聚类算法源程序.已运行成功，可以作适当修改。-Improved genetic algorithm fuzzy clustering algorithm C source. Has run successfully, you can make appropriate changes.
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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。-Fuzzy C- means algorithm is easy to converge to a local minimum, in order to overcome this drawback, the genetic algorithm is applied to the fuzzy C- means
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