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Original_pcm
- 自己编写的可能性c均值聚类算法。数据需要自己load,里面有main函数,改成自己的数据就可以运行。比模糊c均值更加鲁棒的一种聚类算法,缺点是容易产生重合聚类。-possibilistic c means clustering algorithm.
improved-Fcm
- 模糊c均值聚类的一种改进算法,比较简单。用的时候先初始化一下,在不断迭代,参考里面的main函数吧。参考的时候去掉一些无关的命令,有些命令是我自己调用的无关的命令,可能目录里面没有,但不妨碍这个算法运行,可以屏蔽掉。-an improved fuzzy c means clustering algorithm
fcm
- fcm模糊C均值聚类算法的详细程序及其解释,程序可以运行-fcm detailed procedures and their interpretation of fuzzy C-means clustering algorithm, the program can run
Umoshishibies
- 先用C-均值聚类算法程序,并用下列数据进行聚类分析。在确认编程正确后,采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X(设X样本的4个分量x1=x2=x3=xx4=6;子集数l=3)的最近邻节点和3-近邻节点及X与它们之间的距离.-C-means clustering procedure, and the following data and cluster analysis. Confirm the programming is correct, Ca
K-means
- 模式识别中聚类分析经典算法,K-均值算法,C语言编写,可以读入文件,处理任意维数和任意个数的特征向量,附有测试数据。-The classic pattern recognition, cluster analysis algorithm, the K-means algorithm, written in C language, can read the file, handle any number of dimensions and any number of feature vectors
k-and-isodata
- 模式训别的k均值算法和isodata聚类算法c++实现,程序有较清楚的注释,且有word文档说明程序是如何实现算法的,对于刚接触模式识别的程序具有很好的启发作用,不足之处是没有用mfc完成界面编程-Mode of training to achieve other k-means algorithm and isodata clustering algorithm c++, procedures clearer notes and word documents that the program
Cjunzhi
- c均值聚类算法小论文,包括原理、实验及结论-papers, including c-means clustering algorithm principle experiments and conclusions
matlab-image-process
- comparehist是用于检测两个图像的直方图巴士距离,xuefu是通过C类均值算法对图像进行颜色聚类,ccv是提取衣服图像的颜色一致向量,便于以后对图像各个特征值进行操作-comparehist is used to detect the two image histogram bus distance, xuefu Class C means algorithm for image color clustering, ccv extract clothes image consistent
KFCM
- 利用核模糊C均值聚类KFCM算法实现对数据的分类-Nuclear Fuzzy C-Means Clustering KFCM algorithm on data classification
Cluster
- 实现了随机点生成、C均值聚类、ISODATA聚类算法,简单易懂-Random point generation C-means clustering, ISODATA clustering algorithm, straightforward
image-classification
- K均值算法和ISODATA算法的源码,用C++编写,内附一张TM的卫星影像作为实验数据,具体算法原理可以参考武大舒宁、马洪超、孙和利版的《模式识别》一书-The source code of K Means and ISODATA algorithm, written in C++, with a TM image attached. For concrete algorithm, you are referred to the book Pattern Recognition written
cmean_1.rar
- 模式识别中的,C均值的算法的实现,用vs2008实现的基于MFC框架的源码,,Pattern recognition algorithm based on the source code of the MFC framework implemented using vs2008 C average,
fourdirectionedge2
- 将用双线性插值归一化后的图像用2*2的窗口扫描加权方向的边缘图,用改进的模糊C均值聚类算法将图像聚类成为候选文字区域和非文字区域。-Bilinear interpolation owned by an after image edge map with 2* 2 the window scanned weighted direction, image clustering with improved fuzzy C-means clustering algorithm to become the
Pattern-Recognition
- 用C++实现了模式识别中K-均值算法的实现,并用于图像分类实现。-Pattern recognition C++ achieve the realization of the K-means algorithm, and used for image classification.
FCM_YL
- 模糊C均值(FCM)聚类算法分割图像,雨帘开发,非常经典!-function clusterResult = FCM(imagePath, C, V, M, iter, epsm)
FCM_rgb
- 模糊C均值聚类算法,将RGB图像转换到HSI空间时进行聚类-Clustering fuzzy C-means clustering algorithm, the RGB image is converted to HSI space
code
- 模糊C均值聚类算法的实现,对图像进程分隔处理,提取图像的重点信息-failed to translate
c_means
- 用vc++6.0编写的 c均值或者K均值算法-c-means algorithm
tuxiangfenge
- 基于聚类的模糊C均值图像分割算法的实现,将图像分割成两部分-The realization of fuzzy C-means image segmentation algorithm based on clustering, the image is divided into two parts
kernel
- 基于核的模糊C均值matlab仿真程序,功能函数是用c写的,自带图像可检验算法。-Kernel-based fuzzy C-means matlab simulation program, performance function is used to write c, comes with an image can be tested algorithms.