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模糊C均值聚类算法 这是最原始的 包里含有试验用到的图片 可运行得出结果 matlab程序-Fuzzy C-means clustering algorithm which is the most original bag containing the test images used to run matlab program outcome
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自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
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采用模糊C均值对数据集进行聚类分析的matlab实现方法 -Using Fuzzy C-Means clustering analysis of data sets of matlab implementation
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fuzzy c means clustering algorithm
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matlab聚类分析的几个例程 包括系统聚类的法案分析 K均值聚类的法的案例分析 模糊C均值聚类分析的典型案例-matlab clustering analysis of several routines, including hierarchical clustering analysis of K-means clustering Act case law analysis of typical cases Fuzzy C-Means Clustering Analysis
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程序用matlab实现了模糊c均值聚类问题。将大量数据分成几种类型-Program using matlab realize the fuzzy c-means clustering problem. The large amounts of data into several types of classes
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模糊C均值聚类算法过程，C语言编写，有测试数据-Fuzzy C-means clustering algorithm process, C language, test data
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遗传算法改进的模糊C-均值聚类MATLAB源码。用单纯形法来做的-Improved genetic algorithm fuzzy C- means clustering MATLAB source. To do with the simplex method
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模糊c均值聚类 FCM算法的两种迭代形式的MATLAB代码。-Fuzzy c-means clustering algorithm FCM two iterative form of MATLAB code.
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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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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终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
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模糊C均值聚类算法 可直接运行-Fuzzy C-means clustering algorithm can be run directly. . .
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image segmentation using Fuzzy C Means Clustering algorithm
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基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
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蚁群算法优化模糊c均值聚类，非本人原创，大家共同学习-Ant colony algorithm to optimize fuzzy c-means clustering, non-my original, we learn together
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Fuzzy c-means thresholding用于图像分割，有示例图，可以运行-FCMTHRESH Thresholding by 3-class fuzzy c-means clustering
[bw,level]=fcmthresh(IM,sw) outputs the binary image bw and threshold level of image IM using a 3-class fuzzy c-means clustering. It often wo
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这是模糊C均值聚类求出聚类中心以后，待检测样本与聚类中心的贴近程度的计算程序-This is the fuzzy C-means clustering obtained after the cluster center, close to the level of the sample to be detected and clustering center calculation program
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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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采用高斯核的模糊C均值聚类代码，仿真论文时验证可使用，含文档示例结果-Gaussian kernel fuzzy C-means clustering code, the use of simulation papers, containing examples
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This MATLAB Toolbox contains M-files for the following clustering algorithms
1. Fuzzy C-Means Clustering (FCM) => Yf_FCMC1.m
2. Possibilistic C-Means Clustering (PCM) => Yf_PCMC1.m
3. Fuzzy-Possibilistic C-Means Clustering (FPCM) => Yf
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