搜索资源列表
Test_Kmeans
- Java中实现的 K平均算法 附带注解-Kmean by Java
Kmean
- K均值聚类的源代码，而且是采用ＶＣ＋＋来完成，效果不错，欢迎大家下载-K-means clustering source code, and using VC++ to complete, good results are welcome to download
kmean
- kmeans程序，中有小例子，简单实现的小程序-kmeans program, there is a small example, a simple small program to achieve
color-cut
- kmean 算法进行色彩分割 visualc++ 完全可以运行-kmean color segmentation algorithm can run visualc++
kMean
- k-means 算法接受参数 k ；然后将事先输入的n个数据对象划分为 k个聚类以便使得所获得的聚类满足：同一聚类中的对象相似度较高；而不同聚类中的对象相似度较小。聚类相似度是利用各聚类中对象的均值所获得一个“中心对象”（引力中心）来进行计算的。-k-means clustering
kmean
- 利用K均值进行分类，能够较好的实现分类功能，很好使用。-Using k-means classification, can better realize classification function, very good use.
gpu -kmean
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kmean
- k-means algorithm算法是一个聚类算法的实现及详细说明-k-means algorithm
Data-Mining-Concepts-and-Techniques
- 数据挖掘：KDD 过程，不同类型数据的距离度量方式，小波 PCA 属性子集选择-KMean KModoid BIRCH CHEMELEON DBSCAN OPTICE STING CLIQUE EM SCAN
kmean
- 利用k-means的算法实现图像区域分割，主程序只能运行灰度图像，彩色图像需另写调用程序-Using the k-means algorithm for image segmentation, the main program will only run grayscale image, color image subject to write the calling program
ycbcrkMEAN
- YCBCR彩色空間之下作KMEAN顏色分群-YCBCR for color space under the color clustering KMEAN
ycbcrkMEAN
- YCBCR彩色空間之下作KMEAN顏色分群-YCBCR for color space under the color clustering KMEAN
colpiccut
- 将颜色信息由RGB空间转换到Lab空间，利用ab分量的信息（颜色）对图像进行基于Kmean的聚类分割。-The color space conversion from RGB information Lab space, using the ab component information (color) image segmentation based clustering Kmean.
Kmean
- K-均值算法，实现二分类，并测试分类精度。-K-means algorithm to achieve two categories, and test classification accuracy.
kmean
- k-means for iris dataset
KmeansCluster
- 比较方便的KMEANS聚类分析算法MATLAB代码，KMEAN-CLUSTER-Cluster analysis KMEANS better MATLAB code, KMEANS-CLUSTER
Ant-clustering-algorithm-with-K-harmonic-means-cl
- This paper tell about hybrid ant colony- kmeans algorithms. Clustered by ant colony is used for initial cluster for kmean algorithm.
图像分割技术
- 包含图像分割中的kmean、自适应分割法等方法，效果较好，程序绝对能运行
speaker
- linux下的说话人辨认，录音10次，识别1次，基于kmean-speaker verfication under linux，based on kmaen. It works.
kmean
- K均值分类，适合一维或者多维数据，自动识别，分类的数目也可以选择-Kmeans translate