搜索资源列表
FCMandKFCM
- 采用模糊聚类算法和加核模糊聚类算法进行医学图像的分割。采用matlab编程,界面处理较好。 -Using fuzzy clustering algorithm and processing of nuclear fuzzy clustering algorithm for medical image segmentation. Using matlab programming, interface, better handling.
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割,实验好,好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
imgkmeans
- 将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用-The K means algorithm for image segmentation, the input is a color imag
ImageFusion
- 数字图像的加噪、去噪、聚类分析和融合的Matlab实现。-Plus digital image noise, denoising, clustering analysis, and integration of Matlab implementation.
Kmeans_grayimage
- 简单的灰度图像的K均值聚类分割,Matlab实现-gray image segmentation using K-means clustering by matlab.
NcutImage_7_AMD64
- 经典的C-CUT算法的MATLAB实现 由 Jianbo Shi创立。是聚类算法和图像处理的经典算法。-The classic C-CUT algorithm of the MATLAB realization founded by Jianbo Shi.
fcmGUI
- 用Matlab写的FCM算法,包括GUI界面的设计,实现模糊聚类功能。-FCM algorithm is written using Matlab, including the GUI interface design, implementation, fuzzy clustering functionality.
sfcm
- 加入邻域信息的空间模糊c均值聚类算法的代码。-Join neighborhood information, spatial fuzzy c-means clustering algorithm code.
FCM
- 实现了模糊聚类算法,能将N个样本分成C类(1《C《N)-Fuzzy C-means Clustering
FCProgramm
- 模糊聚类程序,完成!matlab7.0调试通过,内含测试程序及数据!欢迎交流!-Fuzzy clustering procedure, done! matlab7.0 through debugging, testing procedures and data contained! Welcome to exchange!
imadeedgesegmentation
- 本程序实现了采用聚类法对图像进行分割,给出了图像分割前后的直方图,程序内有详细的程序说明和例图像-This program was realized using clustering method for image segmentation is presented, and the histogram image segmentation, procedure in detail program
ZPclustering
- 用于图像分割的自调整普聚类算法,可实现大多数图像的无监督分割-Self-tunning spectral clustering for image segmentation
k-means
- 聚类方法中的K-means实现,用matlab语言实现的聚类-Clustering of K-means implementation of the cluster with matlab language
matlab
- 这是一些文本聚类的matlab函数,是遗传算法过程中的一些常用函数-This is some text clustering matlab function, genetic algorithm is the process of some of the commonly used functions
YE
- 在原始的fcm算法基础上,对算法中的聚类数c和加权指数m给出优选方法,进而而出了fcm参数优选自适应算法,通过人造数据与具有实际背景的数据验证可以看出该算法是有效的,该算法不但可以自适应的给出最佳的聚类数,而且可以验证聚类的有效性,达到最佳聚类的目的。-In the original fcm algorithm based on the number of clusters on the algorithm and the weighted index m given c preferred m
K-means
- 用matlab实现的聚类,效果很好,里面有部分数据,点击可以直接运行-Cluster with matlab to achieve good results, which are part of the data, click directly run
mohumatlab
- 模糊聚类的marlab源码程序,大家可以看看,应该会有帮助的-Fuzzy Clustering marlab source programs, we can see, should be helpful
fenge
- 对图像进颜色空间分割,并进行聚类分析,代码简单,直接运行即可-clustering
K-means
- 典型的K均值聚类方法,用matlab编写,有几个文件,大家可以参考参考。-K-means clustering methods typically used matlab write, there are several files, you can refer to the reference.
clustering
- 模糊聚类算法,K-means and K-medoid algorithms,Fuzzy C-means algorithm,The Gustafson{Kessel algorithm,The Gath{Geva algorithm-Fuzzy clustering algorithm, K-means and K-medoid algorithms, Fuzzy C-means algorithm, The Gustafson (Kessel algorithm, The Gath (Gev