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Description: The FCM algorithm is a partition-based clustering algorithm. Its idea is to make the similarity among the objects that are divided into the same cluster be the largest, and the similarity between different clusters is the smallest. The fuzzy C-means algorithm is an improvement of the ordinary C-means algorithm. The common C-means algorithm is hard for the data division, and FCM is a flexible fuzzy division. Before introducing the specific FCM algorithm, we first introduce some basic knowledge of fuzzy sets.
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Filename | Size | Date |
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2.2 图像分割技术\2.2-2程序调用说明.doc | 28672 | 2012-09-26
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2.2 图像分割技术\adaptivethreshold.m | 687 | 2012-02-06
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2.2 图像分割技术\baihe.jpg | 168694 | 2011-07-03
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2.2 图像分割技术\ex1.m | 347 | 2012-02-06
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2.2 图像分割技术\ex2.m | 386 | 2012-02-06
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2.2 图像分割技术\ex3.m | 1278 | 2012-02-06
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2.2 图像分割技术\ex4.m | 120 | 2012-02-06
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2.2 图像分割技术\hehua.JPG | 27660 | 2011-07-03
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2.2 图像分割技术\kmeans.m | 954 | 2012-02-06
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2.2 图像分割技术\medtest.png | 53631 | 2008-03-06
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2.2 图像分割技术\moli.jpg | 62567 | 2011-07-03
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2.2 图像分割技术\regiongrowing.m | 1610 | 2018-03-06
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2.2 图像分割技术\shuixian.jpg | 149852 | 2011-07-03
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2.2 图像分割技术\thresh_md.m | 855 | 2012-02-06
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2.2 图像分割技术\tshape.png | 67242 | 2005-10-05
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2.2 图像分割技术\Untitled.m | 132 | 2018-03-06
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2.2 图像分割技术\xiangrikui.jpg | 252889 | 2011-07-03
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2.2 图像分割技术 | 0 | 2018-03-19 |