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DIBAPI
- fcm用于进行模糊C均值分割，得到的效果还不错-fcm for fuzzy C-means segmentation, the results have been good
FuzzyCMeans
- realization of the fuzzy c-means algorithm
clustering
- Fuzzy Clustering. Problem: To extract rules from data Method: Fuzzy c-means Results: e.g., finding cancer cells
senie09
- Fuzzy C means to segmentate an image whit skin cancer
fcm
- 模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
fuzzycmeans
- fuzzy c means clustering-fuzzy c means clustering
fuzzymean
- fuzzy c-means clustering programe
sfcm
- 加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
gaMatlab
- 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优分类结果。-Fuzzy C-means algorithm converges to local minimum points easily, in order to overcome the shortcomings of genetic algorithm is applied to fuzzy C-means al
Y_FCMC_Ver.1.04
- README file for Yashil s FCM Clustering MATLAB (Y_FCMC) Toolbox Ver. 1.04 ------------------------------------------------------------------------- This MATLAB Toolbox contains M-files for the following clustering algorithms 1. Fuzzy C-Means
FCM
- 采用不同算法编的一些模糊C-均值聚类（FCM）的matlab程序。-Compiled using a number of different algorithms of fuzzy C-means clustering (FCM) in the matlab program.
irisfcm
- This illustrates how to use Fuzzy C-Means clustering for Iris dataset.
muhujuleituxiangfenge
- 算法目的：通过模糊c-均值（FCM）聚类实现图像的分割-Algorithm Objective: fuzzy c-means (FCM) clustering for image segmentation
C_mean
- 该代码是matlab编写的C均值聚类算法，具有速度快，聚类效果好的特点-The matlab code is written in C means clustering algorithm, a fast clustering and a good effect
CreateTree
- Fuzzy C means clustering
Fuzzy-C-means-clustering
- 模糊C均值聚类算法的C++实现代码模糊C均值聚类算法的C++实现代码-Fuzzy C means clustering algorithm C++ implementation code fuzzy C means clustering algorithm C++ implementation code
C-means-clustering-algorithm
- 利用C++实现C均值聚类算法。模糊c均值聚类算法因算法简单收敛速度快且能处理大数据集，解决问题范围广，易于应用计算机实现等特点受到了越来越多人的关注，并应用于各个领域。-C means clustering algorithm in C++
c-means-algorithm
- 熟悉c均值算法，通过程序语言实现该算法，比较每个聚类的初始均值不同时，算法结果的差别。理解动态聚类算法的算法思想-Familiar with the c means algorithm, the algorithm realized by programming language, compare the initial mean of each cluster is not the same time, the difference between algorithm results. Dyn
FCM-C-mean-cluster-segment-[matlab]
- 模糊C均值聚类的matlab实现，模糊C均值聚类是一种利用模糊数学做的聚类方法，属于图像分割的一种。可利用聚类结果用于图像分析和识别。-FCM,C mean cluster segment [matlab].rar
fuzzy-c-means
- fuzzy c means and variants for pattern classification