文件名称:kmeans-image-segmentation
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- 上传时间:2012-11-16
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K-means算法是一种动态聚类方法,这种方法先选择若干样本作为聚类的中心,在按某种聚类准则(通常采用最小距离原则)使各种样本向各个中心积聚,从而得到初始的分类,然后,判断分类的合理性,如果不合理,就修改分类,如此反复的修改聚类的迭代运算,直到合理为止。-K-means algorithm is a dynamic clustering method, this method, select the number of samples as a cluster center in the cluster by some criteria (usually the principle of minimum distance) to the centers to the accumulation of a variety of samples, resulting in the initial classification, then determine the classification is reasonable, if unreasonable, to modify the classification, so repeatedly modified clustering iteration, until a reasonable date.
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kmeans-image-segmentation/kmeans.m
kmeans-image-segmentation/loadFile.do.htm
kmeans-image-segmentation/loadFile.do_files/00th.png
kmeans-image-segmentation/loadFile.do_files/30th.png
kmeans-image-segmentation/loadFile.do_files/40th.png
kmeans-image-segmentation/loadFile.do_files/50th.png
kmeans-image-segmentation/loadFile.do_files/90th.png
kmeans-image-segmentation/loadFile.do_files/blue_band_536x5.gif
kmeans-image-segmentation/loadFile.do_files/bullet.gif
kmeans-image-segmentation/loadFile.do_files/Captcha.htm
kmeans-image-segmentation/loadFile.do_files/cmnty1.css
kmeans-image-segmentation/loadFile.do_files/doc.gif
kmeans-image-segmentation/loadFile.do_files/dots_rnav.gif
kmeans-image-segmentation/loadFile.do_files/dots_rnav_top.gif
kmeans-image-segmentation/loadFile.do_files/exclamation.gif
kmeans-image-segmentation/loadFile.do_files/fullstar.gif
kmeans-image-segmentation/loadFile.do_files/fullstar_grey.gif
kmeans-image-segmentation/loadFile.do_files/ltblue_top_nav_trans.gif
kmeans-image-segmentation/loadFile.do_files/mail_brdr.gif
kmeans-image-segmentation/loadFile.do_files/mlc_logo.gif
kmeans-image-segmentation/loadFile.do_files/preview.jpg
kmeans-image-segmentation/loadFile.do_files/question.gif
kmeans-image-segmentation/loadFile.do_files/s65302541014456.gif
kmeans-image-segmentation/loadFile.do_files/site3.css
kmeans-image-segmentation/loadFile.do_files/spacer.gif
kmeans-image-segmentation/loadFile.do_files/submitfile.gif
kmeans-image-segmentation/loadFile.do_files/s_code.js
kmeans-image-segmentation/loadFile.do_files/xmlicon_30x12.gif
kmeans-image-segmentation/loadFile.do_files/Thumbs.db
kmeans-image-segmentation/loadFile.do_files
kmeans-image-segmentation
kmeans-image-segmentation/loadFile.do.htm
kmeans-image-segmentation/loadFile.do_files/00th.png
kmeans-image-segmentation/loadFile.do_files/30th.png
kmeans-image-segmentation/loadFile.do_files/40th.png
kmeans-image-segmentation/loadFile.do_files/50th.png
kmeans-image-segmentation/loadFile.do_files/90th.png
kmeans-image-segmentation/loadFile.do_files/blue_band_536x5.gif
kmeans-image-segmentation/loadFile.do_files/bullet.gif
kmeans-image-segmentation/loadFile.do_files/Captcha.htm
kmeans-image-segmentation/loadFile.do_files/cmnty1.css
kmeans-image-segmentation/loadFile.do_files/doc.gif
kmeans-image-segmentation/loadFile.do_files/dots_rnav.gif
kmeans-image-segmentation/loadFile.do_files/dots_rnav_top.gif
kmeans-image-segmentation/loadFile.do_files/exclamation.gif
kmeans-image-segmentation/loadFile.do_files/fullstar.gif
kmeans-image-segmentation/loadFile.do_files/fullstar_grey.gif
kmeans-image-segmentation/loadFile.do_files/ltblue_top_nav_trans.gif
kmeans-image-segmentation/loadFile.do_files/mail_brdr.gif
kmeans-image-segmentation/loadFile.do_files/mlc_logo.gif
kmeans-image-segmentation/loadFile.do_files/preview.jpg
kmeans-image-segmentation/loadFile.do_files/question.gif
kmeans-image-segmentation/loadFile.do_files/s65302541014456.gif
kmeans-image-segmentation/loadFile.do_files/site3.css
kmeans-image-segmentation/loadFile.do_files/spacer.gif
kmeans-image-segmentation/loadFile.do_files/submitfile.gif
kmeans-image-segmentation/loadFile.do_files/s_code.js
kmeans-image-segmentation/loadFile.do_files/xmlicon_30x12.gif
kmeans-image-segmentation/loadFile.do_files/Thumbs.db
kmeans-image-segmentation/loadFile.do_files
kmeans-image-segmentation
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