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用matlab实现K均值聚类算法
- 用matlab实现K均值算法
图像模糊C-均值聚类
- 图像聚类分割是图像处理的基本操作,该文件含有C-均值聚类分割算法思想以及matlab源程序
K-均值聚类算法
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现,K-means clustering algorithm, cluster analysis of data that can be used, such as key frame extraction. Using matlab to achieve
基于matlab的K均值聚类程序
- 基于matlab的K均值聚类程序。其中用IRIS数据进行验证,得到了很好的结果。文件中包含了演示后的结果图,Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
在matlab下的k-均值聚类进行图像分类分割处理
- 在matlab下的k-均值聚类进行图像分类分割处理,In matlab under the k-means clustering for image classification be dealt with separately
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
k-mean k均值聚类程序
- k均值聚类程序,虽然matlab中也有自带的,但是这个速度不错。-program for k means used for cluster
K_average
- k均值聚类或者成为均值聚类,用于对各个数据进行分类-k-means clustering or a means clustering for the classification of the various data
wenli
- 基于纹理的图像分割的Matlab源代码,应用小波和K均值聚类-matlab
1
- 模糊C均值聚类的MATLAB程序,有详细中文注释,对初学者很有帮助。-Fuzzy C-means clustering of the MATLAB program, a detailed English notes, very helpful for beginners.
k_means
- k-均值聚类法用于各种图像的聚类、分割问题,希望可以对您有利-k-means clustering method for a variety of image clustering, segmentation
knn
- k均值聚类+matlab 有详细的注释和图片-failed to translate
fuzzycm
- 采用模糊C均值聚类方法,能够对样本进行很好的分类,很好用-Fuzzy C means clustering method, the sample can be well classified, very good use
FuzzyCM
- 一个包含多个matlab文件的工具包,利用它可以方便使用模糊c均值聚类-Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering
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
模糊C均值聚类(FCM)
- 模糊C均值聚类,matlab程序,简单易懂,程序可以运行。(Fuzzy C means clustering, Matlab code, easy to understand, the program can run.)
常用聚类
- 常用聚类的MATLAB程序,调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
模糊C均值算法
- 亲测,能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
K—均值聚类提取
- k均值聚类提取,适合学习。先将RGB图像转换到LAB空间,在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
FCM,模糊C均值聚类的MATLAB实现[matlab]-FCM
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称( FCM)。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,它通过优化目标函数得到每个样本点对所有类中心的隶属度,从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means algorithm (FCMA) or FCM. Among many fuzzy clustering algorithms, the fuzzy C-means (FCM) algor