搜索资源列表
73462683ClusterImageSeg
- 模糊均值聚类FCM算法对图像的颜色聚类 进行图像分割 聚类个数和聚类中心都是事先决定的-Fuzzy-means clustering algorithm FCM clustering for color image segmentation and clustering the number of cluster centers are determined in advance
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
kmeans
- 这个应用程序是使用k均值聚类算法分割一个灰度图像-Application of kmeans clustering algorithm to segment a grey scale image on diferent classes.
KFCMClust529
- 标准的模糊C聚类算法程序,做聚类图像处理的非常有用-the corresponding algorithms are called kernel fuzzy c-means (KFCM) and kernel possibilistic c-means (KPCM) algorithms. And some test results are given to illustrate the advantages of the proposed algorithms over
KAV
- KAV是利用Visual C++ 6.0编写的一个小程序,能实现对特定数据结果的文本数据进行聚类分析,所使用的聚类方法是K均值。 -KAV is the use of Visual C++ 6.0 to prepare a small procedure to achieve the outcome of specific data on the text data clustering analysis, the use of the K-means clustering method.
loc_im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类,即把收敛到同一点的起始点归为一类,然后把这一类的标号赋给这些起始点,同时把包含像素点太少的类去掉。然后,采用阈值化分割的方法对图像进行二值化处理。-Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
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.
im_MSfilter
- 基于Mean Shift的图像分割过程就是首先利用Mean Shift算法对图像中的像素进行聚类,即把收敛到同一点的起始点归为一类,然后把这一类的标号赋给这些起始点,同时把包含像素点太少的类去掉。然后,采用阈值化分割的方法对图像进行二值化处理 -Mean Shift Based on the process of image segmentation is the first to use the image Mean Shift algorithm for clustering of pixe
c_mean
- 用matlab实现的c均值聚类算法,用于图像分割,分割效果很好-Matlab achieved with c-means clustering algorithm for image segmentation, segmentation well
ImgCluster
- vc++6.0+gdal开发的聚类算法的COM组件,可在vb或.Net中直接调用。其中包含的聚类算法有:K-Means,ISODATA等,可对Image影像进行聚类处理。-vc++6.0 development of COM components clustering algorithm can vb or. Net direct call. Which includes the clustering algorithm are: K-Means, ISODATA, etc.
yansejulei
- 图像颜色聚类分割,实现了图形分割,基于RGB特征并显示出来。-Color image segmentation clustering, to achieve the graphics division, based on the characteristics of RGB and displayed.
imagesegmentation
- 模糊C-均值聚类算法,使用VC++与matlab 编程两种方法实现算法-Fuzzy C-means clustering algorithm, using VC++ and matlab programming algorithm in two ways
kjz
- 这个文件主要是实现了K-均值聚类算法,需要输入k的数目,可以直接连接运行-This file is mainly implemented K-means clustering algorithm, need to enter the number of k can be directly connected to run
C__julei
- 一种非常实用的C均值聚类算法,可以用于数据挖掘、图像分割等领域-A very useful C-means clustering algorithm can be used for data mining, image segmentation and other areas of
kmeans
- 程序很好的实现了k均值的聚类,我已经使使用过,效果非常好,很好用-Program achieved a very good k mean clustering, I have so used, the effect is very good, very good use
PRmatlabprogram
- matlab聚类,应用平均值法求新的聚类中心-matlab clustering, the application of the cluster center average method novelty
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
iriscode
- Matlab提供了两种方法进行聚类分析。 一种是利用 clusterdata函数对样本数据进行一次聚类,其缺点为可供用户选择的面较窄,不能更改距离的计算方法; 另一种是分步聚类:(1)找到数据集合中变量两两之间的相似性和非相似性,用pdist函数计算变量之间的距离;(2)用 linkage函数定义变量之间的连接;(3)用 cophenetic函数评价聚类信息;(4)用cluster函数创建聚类。 -Matlab provides two methods of cluster anal
FuzzyClustering
- 模糊聚类程序,并且有文档,详细的给出了模糊聚类算法的各个步骤。-Fuzzy clustering procedure, and there are documents, is given in detail the various steps in fuzzy clustering algorithm.