搜索资源列表
xinxishangFCM
- 基于信息熵的快速模糊C均值聚类算法。提出了一中新的快速算法，效果很好。-Based on the information entropy fuzzy c-means algorithm quickly clustering algorithm. Put forward a new fast algorithm, the effect is very good.
fcm
- 模糊C均值聚类算法实现数据挖掘的matlab源代码-Fuzzy C-Means clustering algorithm for data mining matlab source code
FLICM
- 局部模糊c均值聚类算法的matlab代码-A Robust Fuzzy Local Information C-means Clustering Algorithm code
fcm-matlab
- matlab开发的FCM（模糊c-均值聚类算法）例程-matlab，cluster，fuzzy c-means，FCM，code
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