搜索资源列表
fcm
- 该文件是有关fcm的Ｍatlab仿真算法，数据集为一随即数据集．-the paper is on the FCM Matlab simulation algorithm, data was collected for one data set.
FCM[matlab]
- FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM, Fuzzy C - Means clustering MATLAB [Matlab]
matlab -自带 fcm解析
- matlab自带的fcm聚类源代码分析详解。
利用模糊C均值图像分割
- 利用模糊C均值图像分割,此为matlab环境下的仿真代码.,Using fuzzy C-means image segmentation, this matlab code simulation environment.
FCM.模糊C均值图像分割方法的Matlab程序源代码
- 上传内容为模糊C均值图像分割方法的Matlab程序源代码,From the contents of the fuzzy C-means image segmentation of the Matlab source code
fcm.rar
- 模糊聚类的matlab程序，有详细注释，对初学者很有用,FCM
FCM
- C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
FCM
- 模糊均值聚类 MATLAB程序,基于欧式距离的模糊C均值聚类，有效输出隶属度矩阵。-FCM
FCM(1)
- 这是我们的数字图像处理的大作业，用模糊聚类的方法做的图像分割，希望对大家有用，谢谢！-This is our large digital image processing operations, with the fuzzy clustering method to do image segmentation, hope for all of us, thank you!
GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码 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。 -Value algorithm (FCM) of the optimization calculations, by the genetic algorithm is the initial cluster centers, and the
FCMmatlab
- 用matlab实现了FCM图像分割，分割效果较好。有说明-Matlab achieved using FCM image segmentation, segmentation better. Described
FCM
- Initialize U=[uij] matrix, U(0) At k-step: calculate the centers vectors C(k)=[cj] with U(k) Update U(k) , U(k+1) &n
fcm1
- function [U,V,num_it]=fcm(U0,X) ％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. ％ Hathaway on June 21, 1994.) The fuzzification constant ％ m = 2, and the stopping criterion for successive partitions is epsi
julei
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
FCMSegmentation
- FCM 模糊C均值聚类算法。使用说明：这是一个可以人机交互的FCM算法，首先使用鼠标圈定一个矩形区域，则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically im
fcm
- 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
mh
- 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
fcm-MATLAB
- FCM,模糊C均值聚类的MATLAB实现-FCM matlab
FCM(Matlab)
- FCM K均值聚类算法的matlab实现 ，-FCM matlab
FCM实现图像分割
- 用FCM算法实现了图像分割，效果较好，可以更改聚类数目(FCM algorithm is used to realize image segmentation. The result is good, and the number of clusters can be changed)