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K_means
- k-means算法是根据聚类中的均值进行聚类划分的聚类算法。 输入：聚类个数k，以及包含n个数据对象的数据。 输出：满足方差最小标准的k个聚类。
C_Means
- K均值聚类是模式识别中非常重要的一种方法，通过K均值聚类可以将具有相同属性的元素进行聚合。-K-means clustering is a very important one in the pattern recognition method, polymerization by K-means clustering with the elements of the same property.
JuLeiFenXi2.1.2
- 用OPEN CV在VS2010下实现运动物体分离，算法理论：K—均值聚类算法-Moving objects in VS2010 with the OPEN the CV separation algorithm theory: K-means clustering algorithm
bayesian_kmeans_bp
- 贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
kmean
- k均值聚类分割，用于颅脑分割的效果不错，自己编的哦-k-means clustering segmentation for brain segmentation, good results, their own series.
kkk
- k均值聚类，类数可以自行指定，结果显示聚类中心-K-means clustering, the class number can be specified on its own, and the results showed that the clustering center
kjunzhi
- k均值聚类，聚为2类，结果显示散点图，红色十字表示聚类中心-K-means clustering, the class number is 2, and the results showed that the clustering center
kjunzhiduolei
- k均值聚类，类数可以自行指定，输出散点图，红色十字为聚类中心-K-means clustering, the class number can be specified on its own, the output scatterplot chart, and the Red Cross for clustering center
K1092013005K-
- K均值聚类算法 对图像颜色进行行聚类 然后对图像分割可直接使用。 -K-means clustering algorithm for image color line clustering and image segmentation can be used directly.
C_mean_face
- k均值聚类，能够实现最简单的k——均值聚类，在模式分类中具有重要用途-k-means clustering, to achieve the simplest k- means clustering, pattern classification purposes
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
Fuzzy-c-means-clustering-algorithm-
- k均值算法是模式识别的聚分类问题，采用模糊C均值对数据集data聚为cluster_n类 -k-means algorithm is a pattern recognition poly classification,by using Fuzzy C-Means data sets, data gathered cluster_n class
cskmeans
- K均值聚类用matlab实现源程序，可用于其他算法的结合与实现-K-means clustering using matlab
kmeans
- K均值聚类算法，此算法自动把数据组聚类分割，效果很好-K-means clustering algorithm, this algorithm automatically data set clustering segmentation with good results
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
Kmeans_image
- 使用matlab编写的针对图像的k均值聚类程序-K-means clustering procedure using matlab for image!
kmeans_c
- K-MEANS算法是输入聚类个数k，以及包含 n个数据对象的数据库，输出满足方差最小标准的k个聚类。-K-MEANS algorithm is the input number of clusters k, and includes n data object database, and outputs k clusters to meet the minimum variance standard.
Kmeans2forImage
- k均值聚类二值化字符图像，通过把RGB图像分割成不同区域-k-means clustering binarized character image, by RGB image segmentation into different regions
k-meansalgorithm
- 上传的代码得到的数据部分是根据计算机随机生成的，在看代码的时候有个生动的例子看起来是很好的。k-means算法的聚类特征依然是距离特征-Upload the code to get the data part is randomly generated according to the computer, there is a vivid example, when looking at the code looks good. k-means algorithm clustering feat
K_means
- 用C语言实现的K均值聚类，用于数据挖掘数据间的聚类-K-means clustering C language for data mining data clustering