搜索资源列表
MergeCenter
- k均值聚类方法的c代码，并且带有聚类数据，适用于刚刚接触该算法的初学者-k-means clustering method c code, and with the clustering data, applicable to just access to the algorithms for beginners
KMA
- 用VC编写的K均值聚类算法的源代码，经调试可以使用-脫脙VC 卤 脿脨
KMeansCSharp
- k均值聚类的c#版本，我从网上找到的c版本经改造而成-k-means clustering of the c# version, I found from the Internet version of the modified form c
K_average
- K均值聚类算法,matlab编写,很好用-K means clustering algorithm, matlab prepared very well with
Kmeas
- 这是一个自己编的基于K均值聚类算法的图象分割软件，界面操作窗口化，很容易操作-This is an own-based K-means clustering algorithm for image segmentation software, the interface window of operation, it is easy to operate
kmean
- k-均值聚类 小算法实例 （将8组4维数据分成6类）-k-means clustering algorithm for examples of small (to 8 Group 4 dimensional data into 6 categories)
HCMnew
- 一个实现K均值聚类的程序，VC++编程环境，还有文档说明，非常实用-A realization of K-means clustering procedure, VC++ Programming environment, as well as documentation, very useful
kmeansren
- k均值聚类的动态分类算法 灰度图和彩图的 -k-means clustering algorithm for the dynamic classification of grayscale and color
knn
- knn 方法为k均值聚类用于数据点的分类-KNN method for k-means clustering for the classification of data points
kmeans
- k-means源码(K均值聚类算法源码)-k-means source (K-means clustering algorithm source)
2
- K均值聚类算法，将模式识别方法与图像处理技术相结合，掌握利用K均值聚类算法进行图像分类的基本方法-K-means clustering algorithm, the pattern recognition method and image processing technology, to master the use of K-means clustering algorithm is the basic method of imag
kmeans1
- k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）-k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final i
kMeansCluster
- K-均值聚类，比较好的聚类方法，应用广泛-K-means clustering, a better clustering method, widely used
cluster
- k均值聚类算法源码（matlab） k均值聚类算法源码（matlab）-k-means clustering algorithm source code (matlab) k-means clustering algorithm source code (matlab)
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
51622445texturepinyuA2
- K均值聚类算法 由于对纹理图像使用灰度共生矩阵分割效果不明显 因此该算法使用图像频域进行处理-K-means clustering algorithm because of the texture image segmentation using the gray co-occurrence matrix effect was not obvious, therefore use the algorithm for processing
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
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
k
- k平均聚类所谓k均值聚类方法是一种无监督的学习算法，它能用已知类数的数据聚类和预测。-k-average clustter
kmeanC
- k均值聚类算法的C++实现，在VC2003下调试通过。-k-means clustering algorithm C++ implementation, the VC2003 debug through.