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matlab编写的遗传算法优化的模糊C均值聚类算法-genetic algorithm optimize Fuzzy C means algorithm
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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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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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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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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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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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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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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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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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Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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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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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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基于 MATLAB 模糊C均值算法，有用的算法代码-Fuzzy C-means algorithm based on MATLAB and useful algorithm code
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基于 MATLAB 核图像模糊C均值算法，有用的代码。-Based on MATLAB nuclear image fuzzy C-means algorithm, useful code.
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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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是一个基于Matlab软件的模糊C-means聚类算法原代码,-Is a software based on Matlab fuzzy C- means clustering algorithm source code,
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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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是一个基于Matlab软件的模糊C-means聚类算法原代码,-Is a software based on Matlab fuzzy C- means clustering algorithm source code,
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Based on matlab fuzzy C - means clustering algorithm (KFCM), good-Based on matlab fuzzy C- means clustering algorithm (KFCM), good
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