搜索资源列表
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
kmeans
- matlab源码关于模糊K均值聚类算法，很好的，适合大家下载研究学习-matlab source code on the fuzzy K-means clustering algorithm, very good, for everyone to download research study
fcm
- 程序用matlab实现了模糊c均值聚类问题。将大量数据分成几种类型-Program using matlab realize the fuzzy c-means clustering problem. The large amounts of data into several types of classes
FCM
- 两种模糊核聚类算法,包括源程序和算例，非常有用-Two Fuzzy C-Means algorithm
fcm-MATLAB
- FCM,模糊C均值聚类的MATLAB实现-FCM matlab
Subtractive-Clustering
- 基于减法聚类及自适应模糊神经网络的 短期电价预测.-Short-term price forecasting Subtractive Clustering and Adaptive Fuzzy Neural Network.
fcm-evlo
- 用于图像分割，基于fcm算法的图像分割，实现模糊均值聚类的分割，更准却的实现分割。-For image segmentation, image segmentation based on FCM algorithm, the realization of fuzzy clustering segmentation, more accurate but to achieve segmentation.
FCM
- 模糊C均值聚类算法过程，C语言编写，有测试数据-Fuzzy C-means clustering algorithm process, C language, test data
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
fuzzycm
- 模糊c均值聚类 FCM算法的两种迭代形式的MATLAB代码。-Fuzzy c-means clustering algorithm FCM two iterative form of MATLAB code.
test
- 本算法有图像融合算法，聚类分析算法，去噪算法，运动模糊算法-This algorithm with image fusion algorithm, clustering analysis algorithm, the denoising algorithm, fuzzy algorithm
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-
fcmMATLAB
- 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终的分类结果。-Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- me
FCMC
- 模糊C均值聚类算法 可直接运行-Fuzzy C-means clustering algorithm can be run directly. . .
FLICM
- 基于局部信息的模糊C均值聚类算法（FLICM），是在FCM聚类算法的基础上结合了图像的邻域信息，有更好的鲁棒性。-Fuzzy C-means clustering algorithm based on local information (FLICM), is a combination of neighborhood information image on the basis of FCM clustering algorithm has better robustness.
ACA_FCM
- 蚁群算法优化模糊c均值聚类，非本人原创，大家共同学习-Ant colony algorithm to optimize fuzzy c-means clustering, non-my original, we learn together
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
GAFCM
- matlab编写的遗传算法优化的模糊C均值聚类算法-genetic algorithm optimize Fuzzy C means algorithm
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