搜索资源列表
fcmamatlab
- 模糊C均值聚类算法的matlab源代码，包括注释！-fuzzy c means
fcm
- 用模糊C均值算法实现图像分割 ，文件夹中附带有图片和matlab的源程序，已经验证过可以实现对图片的分割-Fuzzy C-means algorithm for image segmentation, there is a folder with pictures and matlab source, has already been verified can be achieved on image segmentation
BCFCM
- 基于偏置场矫正的模糊C均值聚类算法的实现 经调试，可以运行-Bias field correction based on fuzzy C-means clustering algorithm to achieve through debugging, you can run
Cmeans
- 使用MATLAB软件进行模糊C均值聚类，进行迭代并观察迭代过程。-Using MATLAB software fuzzy C-means clustering, iterative and observe the iterative process.
cannyedgedetection
- 基于canny边缘检测，模糊c均值聚类的图像分割-Canny edge detection based on fuzzy c-means clustering image segmentation
FCM
- 模糊C均值聚类，实现数据聚类算法！来源于网络，经过修改，可用于数据聚类！-Fuzzy C-Means clustering, data clustering algorithm! From the network, without modification, can be used for data clustering!
FCMClust
- 模糊C均值聚类（FCM）算法是一种经典的模糊聚类分析方法，但其算法初始聚类中心集是随机选取的，从而造成算法的性能强烈的依赖聚类中心集的初始化。-Fuzzy C-Means clustering (FCM) algorithm is a classical fuzzy clustering analysis method, but the algorithm sets the initial cluster centers are selected randomly, resulting in a
fcm
- 模糊c均值聚类算法在MATLAB中的代码，非常好用-Fuzzy c-means clustering algorithm in MATLAB program can definitely use. . . . .
FCMclust
- 模糊C均值聚类算法 这是最原始的 包里含有试验用到的图片 可运行得出结果 matlab程序-Fuzzy C-means clustering algorithm which is the most original bag containing the test images used to run matlab program outcome
C_means
- 采用模糊C均值对数据集进行聚类分析的matlab实现方法 -Using Fuzzy C-Means clustering analysis of data sets of matlab implementation
jlfx
- matlab聚类分析的几个例程 包括系统聚类的法案分析 K均值聚类的法的案例分析 模糊C均值聚类分析的典型案例-matlab clustering analysis of several routines, including hierarchical clustering analysis of K-means clustering Act case law analysis of typical cases Fuzzy C-Means Clustering Analysis
FCM
- 模糊C均值的改进算法，详细介绍了改进过程和原算法的原理，具有很好参考价值-Improved Fuzzy C- Means algorithm , described in detail the principles to improve the process and the original algorithm has a good reference value
GUI-based-on-Matlab
- 遗传算法改进的模糊C-均值聚类MATLAB源码。用单纯形法来做的-Improved genetic algorithm fuzzy C- means clustering MATLAB source. To do with the simplex method
69b2bf05df5a
- 模糊C均值聚类的MATLAB实现，其中包含了10个MATLAB函数--MATLAB fuzzy C-means clustering to achieve, which contains 10 MATLAB functions-
tiejindu
- 这是模糊C均值聚类求出聚类中心以后，待检测样本与聚类中心的贴近程度的计算程序-This is the fuzzy C-means clustering obtained after the cluster center, close to the level of the sample to be detected and clustering center calculation program
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
FCMClust
- 模糊C-均值评价分析,能够对目标函数进行系统的模糊评价分析，得到可靠的计算结果-Fuzzy C- Means uation and analysis system capable of objective function fuzzy uation and analysis, reliable results
gafcm
- 这是遗传算法改进的模糊C-均值聚类MATLAB源代码,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终的分类结果。-This is the MATLAB source code of the improved fuzzy c-means clustering(FCM) based on the genetic algorithm(GA).The initial cluster centers are otained through GA,and the final clust
KFCM_-Gaussian
- 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
Code-Segmentation
- 基于WFCM的最优阈值图像分割 阈值化是图像分割中广泛应用的一种有效工具。基于类别可分性准则的Otsu法是性能良好且受到普遍欢迎的自动阈值选择方法。Otsu方法与c均值聚类算法的准则在一定条件下是等价的，而c均值聚类算法还可以快速实现分割问题。目前人们提出了很多基于c均值聚类准则的图像阈值化方法，其中模糊c均值（FCM）是最流行的算法之一。但是FCM算法没有考虑样本矢量间对聚类效果的不同影响，因而使用加权模糊c均值（WFCM）来解决这个问题。-Optimal threshold image se