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cmohu
- 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
FCM
- Data clustering by using Fuzzy c means, where c means number of cluster, m means weight of membership function matrix, X means data input.
06341870
- Abstract—This paper proposes a new strategy to meet the controllable heating, ventilation, and air conditioning (HVAC) load with a hybrid-renewable generation and energy storage system. Historical hourly wind speed, solar irradiance, and load d
FCM
- classification de fuzzy c means clustering implmente en c++ ..
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
HWFCM
- 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
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
FCM
- FCM Fuzzy c means clustering-FCM Fuzzy c means clustering.......
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