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Fuzzy C-Means Clustering (FCM)
Possibilistic C-Means Clustering (PCM)
Fuzzy-Possibilistic C-Means (FPCM)
Comparison of FCM, PCM and FPCM,Fuzzy C-Means Clustering (FCM)
Possibilistic C-Means Clustering (PCM)
Fuzzy-Possibilistic C-Means (FPCM)
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遗传算法改进的模糊C均值聚类的matlab源程序 可以运行 格式需要更改,Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
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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。
-Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
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通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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Fuzzy Clustering.
Problem: To extract rules from data
Method: Fuzzy c-means
Results: e.g., finding cancer cells
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Fuzzy C-mean Clustering algorithm for wireless sensor networks
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fuzzy c means clustering-fuzzy c means clustering
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fuzzy c-means clustering programe
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在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
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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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README file for Yashil s FCM Clustering MATLAB (Y_FCMC) Toolbox Ver. 1.04
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means
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this is code for fuzzy c mean clustering
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采用不同算法编的一些模糊C-均值聚类（FCM）的matlab程序。-Compiled using a number of different algorithms of fuzzy C-means clustering (FCM) in the matlab program.
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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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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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Fuzzy C-Means CLustering
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用模糊C均值聚类算法完成对输入数据的聚类。(Clustering using fuzzy C means clustering algorithm)
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基于fuzzy c-means（FCM）的无监督模糊聚类算法，输出值有：各个样本的类别标签、目标函数在每次迭代后的值、聚类中心以及聚类区间。内有测试数据data.mat，点击 test.m 可以完美运行。(The unsupervised fuzzy clustering algorithm based on fuzzy c-means (FCM) outputs the class labels of each sample, the value of the target function
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Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
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模糊c均值聚类算法的实现，还有相对的测试数据集(Fuzzy C-Means clustering algorithm)
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