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fuzzyC
- 利用模糊C均值来分割图像成3个部分.会计算分割面积-use fuzzy c means to segment an image into 3 region of interest.
mohujvlei
- 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.
pattern
- 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.
fcm
- 模糊C均值实现聚类分析，经过测试可以正常运行-Fuzzy C-Means
BBSD
- 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
upload
- genetic algorithm for optimization and bee colony algorithm accompanied by fuzzy c means clustering .
FCMClust
- 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
FMC
- 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
FCMSegmentation
- 这个程序实现的是模糊C均值图像分割。里面包含源程序和一幅图像。运行后可以看到分割效果。-The program implementation is the fuzzy C-means image segmentation. Which contains the source code and image. We can see the effect after the split operation.
Intelligent-Image-Color-Reduction-and-Quantizatio
- 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
fgfcm
- using fast generated fuzzy c-means (fgfcm) for image segmentation.
cluster_VMDaFCM_casedat
- 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
thmogenr
- resonance imaging (MRI) data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the radio-frequency coils or to problems associated with the acquisition sequences
easourfd
- that arises the surface coil array. This entropy-based method does not require classification and robustly addresses some problems that are more severe than those found in brain imaging, including noise, steep bias field, sensitivity of arter
fcmC
- 在原始的 fcm 算法基础上，对算法中的聚类数 c 和加权指数 m 给出优选方法， 进而而出了 fcm 参数优选自适应算法。-Fuzzy C-Means algorithm
suanfaFUZZCLUST
- 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
gdKFCM
- 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.
Fuzzy-C---Means-Clustering-Algorithm
- 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.
IFP_FCM
- 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
fkm_run
- 用IDL编写的模糊C-均值分类的代码，希望读者喜欢-IDL prepared by the fuzzy C-means classification code, I hope readers like