文件名称:color image segmentation
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- 上传时间：2014-08-26
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Clustering is a way to separate groups of objects. K-means clustering treats each object as having a location in space. It finds partitions such that objects within each cluster are as close to each other as possible, and as far from objects in other clusters as possible. K-means clustering requires that you specify the number of clusters to be partitioned and a distance metric to quantify how close two objects are to each other.
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压缩包 : ColorImageSegmentation.zip 列表 ColorImageSegmentation/colImgSeg.m ColorImageSegmentation/Input.JPG ColorImageSegmentation/SampleUsage.m ColorImageSegmentation/Thumbs.db image segmentation/hestain.png image segmentation/segmentation.asv image segmentation/segmentation.m K_means image segmentation/1.jpg K_means image segmentation/fy2.m MATLAB image processing/BIDProjection.m MATLAB image processing/ITP1.FIG MATLAB image processing/ITP1.M MATLAB image processing/kmeans.m MATLAB image processing/kmeansmono.m MATLAB image processing/MAPcolor.m MATLAB image processing/MAPmono.m MATLAB image processing/mylog.m MATLAB image processing/neighbor.m MATLAB image processing/Ngauss.m MATLAB image processing/Npdf.m MATLAB image processing/Paolina.gif MATLAB image processing/segment.m
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