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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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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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基于模糊C均值对图像进行聚类，可以用于遥感图像，也可以用于一般彩色或者灰度图。-Based on fuzzy C means clustering, can be used for remote sensing images, can also be used for general color or grayscale.
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fcm fuzzy c-means clustering 是模糊聚类的工具包-fcm toolbox
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classification de fuzzy c means clustering implmente en c++ ..
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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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基于区域的空间域图像融合。先对源图像作小波分解，低频分量加权平均，高频分量用模糊C均值聚类算法进行区域分割，对区域进行基于ssim值的融合，最后小波逆变换得到融合图像。-region based spatial domain method.First do the source image wavelet decomposition low frequency components weighted average of the high frequency component using Fu
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几种混合模糊c均值聚类算法的改进文献，可供学习者参考-Several hybrid fuzzy c-means clustering algorithm literature, provide a reference for the learners
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genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
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模糊C均值聚类，比较适合初学者，聚类数目可自行调整-Fuzzy C-means clustering, more suitable for beginners, please support
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FCM Fuzzy c means clustering-FCM Fuzzy c means clustering.......
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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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为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识
别。对同一负荷下的已知故障信号进行变分模态分解，利用
奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法
应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM
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该程序主要用于机械故障模式的识别与诊断，且诊断准确率较高，具有工程应用价值。-The program is mainly used for the identification and diagnosis of mechanical failure modes, and the diagnostic accuracy is high, with engineering application value.
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IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。-IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM
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