搜索资源列表
Kmeans.Cluster.using.Guide
- 图像集群(Image Clustering) (1)图像读入,显示图像所在路径; (2)采用imgcluster函数进行图像集群,选择集群个数后进行图像集群; (3)运行后,在原图像上显示集群灰度图; (4)若要显示各个集群情况,可打开【Show Clustering Image】新窗体,显示各集群类的基于原图的彩绘区域。其中非当前集群范围,则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) re
kmeans
- opencv的基础代码实现 可以实现边缘检测和图像的其他识别-the basis of opencv code can achieve edge detection and image of the other identification
cntv_downloader
- 实现了聚类功能,是开源的开发平台。提供了kmeans等多种类聚。-Achieve a clustering feature is the open source development platform. Provides kmeans and other types of polyethylene.
kmeansCluster
- 开源搜索Carrot2中的kmeans聚类算法(作为性能对比用),由波兰学者Osinski撰写。-The open source search Carrot2 kmeans clustering algorithm (used as a performance comparison), written by the Polish scholar Osinski.