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SFCM-master

于 2017-11-24 发布 文件大小:14555KB
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  Matlab Fuzzy c means example segmentation

文件列表：

SFCM-master
SFCM-master\.gitignore, 45, 2017-11-11
SFCM-master\Images
SFCM-master\Images\Exempla.pdf, 952458, 2017-11-11
SFCM-master\Images\test images
SFCM-master\Images\test images\atom.jpg, 33640, 2017-11-11
SFCM-master\Images\test images\square.png, 3962, 2017-11-11
SFCM-master\Images\test images\squarenoise10.png, 370031, 2017-11-11
SFCM-master\Images\test images\squarenoise25.png, 410204, 2017-11-11
SFCM-master\License.txt, 26430, 2017-11-11
SFCM-master\README.md, 3219, 2017-11-11
SFCM-master\Releases
SFCM-master\Releases\1.0
SFCM-master\Releases\1.0\sfcm_clustering.jar, 89414, 2017-11-11
SFCM-master\Releases\1.1
SFCM-master\Releases\1.1\Changes.rtf, 400, 2017-11-11
SFCM-master\Releases\1.1\sfcm_clustering.jar, 89997, 2017-11-11
SFCM-master\Releases\1.2
SFCM-master\Releases\1.2\Changes.rtf, 455, 2017-11-11
SFCM-master\Releases\1.2\sfcm_clustering.jar, 90229, 2017-11-11
SFCM-master\SFCM.pdf, 2850602, 2017-11-11
SFCM-master\build-before-profiler.xml, 7269, 2017-11-11
SFCM-master\build.xml, 7324, 2017-11-11
SFCM-master\dist
SFCM-master\dist\README.TXT, 1453, 2017-11-11
SFCM-master\dist\lib
SFCM-master\dist\lib\binding-2.0.6.jar, 155131, 2017-11-11
SFCM-master\dist\lib\commons-beanutils-core-1.7.0.jar, 168760, 2017-11-11
SFCM-master\dist\lib\commons-logging-1.1.1.jar, 60841, 2017-11-11
SFCM-master\dist\lib\ij.jar, 1555653, 2017-11-11
SFCM-master\dist\sfcm_clustering.jar, 90229, 2017-11-11
SFCM-master\doc
SFCM-master\doc\SFCM micro guida ITA.pdf, 148745, 2017-11-11
SFCM-master\doc\SFCM micro guide ENG.pdf, 141348, 2017-11-11
SFCM-master\doc\javadoc
SFCM-master\doc\javadoc\allclasses-frame.html, 3839, 2017-11-11
SFCM-master\doc\javadoc\allclasses-noframe.html, 3319, 2017-11-11
SFCM-master\doc\javadoc\clustering
SFCM-master\doc\javadoc\clustering\fcm
SFCM-master\doc\javadoc\clustering\fcm\ClusteringDelegate.html, 9822, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\FCM.html, 30406, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\FCMManager.html, 54588, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\FCMPlugin.html, 21204, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\class-use
SFCM-master\doc\javadoc\clustering\fcm\class-use\ClusteringDelegate.html, 10403, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\class-use\FCM.html, 5718, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\class-use\FCMManager.html, 9539, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\class-use\FCMPlugin.html, 5778, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\package-frame.html, 1397, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\package-summary.html, 6779, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\package-tree.html, 6432, 2017-11-11
SFCM-master\doc\javadoc\clustering\fcm\package-use.html, 6763, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans
SFCM-master\doc\javadoc\clustering\kmeans\ClusteringDelegate.html, 8827, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\KMeans.MeanElement.html, 11955, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\KMeans.html, 19732, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\KMeansManager.html, 40230, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\KMeansPlugin.html, 20612, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\class-use
SFCM-master\doc\javadoc\clustering\kmeans\class-use\ClusteringDelegate.html, 10261, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\class-use\KMeans.MeanElement.html, 5898, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\class-use\KMeans.html, 5778, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\class-use\KMeansManager.html, 9220, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\class-use\KMeansPlugin.html, 5838, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\package-frame.html, 1553, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\package-summary.html, 7179, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\package-tree.html, 6796, 2017-11-11
SFCM-master\doc\javadoc\clustering\kmeans\package-use.html, 6823, 2017-11-11
SFCM-master\doc\javadoc\clustering\old
SFCM-master\doc\javadoc\clustering\old\kmeans
SFCM-master\doc\javadoc\clustering\old\kmeans\KMeans.Config.html, 22645, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\KMeans.MeanElement.html, 12141, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\KMeans.html, 21856, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\KMeansClusteringPlugin.html, 17595, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\KMeansUtils.html, 13757, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use\KMeans.Config.html, 10008, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use\KMeans.MeanElement.html, 5995, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use\KMeans.html, 5875, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use\KMeansClusteringPlugin.html, 6035, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\class-use\KMeansUtils.html, 5925, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\package-frame.html, 1403, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\package-summary.html, 7235, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\package-tree.html, 6787, 2017-11-11
SFCM-master\doc\javadoc\clustering\old\kmeans\package-use.html, 6733, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm
SFCM-master\doc\javadoc\clustering\sfcm\ClusteringDelegate.html, 12058, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\ClusteringValidity.html, 15421, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\SFCM.html, 73247, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\SFCMManager.html, 104382, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\SFCMPlugin.html, 25953, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\class-use
SFCM-master\doc\javadoc\clustering\sfcm\class-use\ClusteringDelegate.html, 10350, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\class-use\ClusteringValidity.html, 5878, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\class-use\SFCM.html, 5738, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\class-use\SFCMManager.html, 10025, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\class-use\SFCMPlugin.html, 5798, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\package-frame.html, 1525, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\package-summary.html, 7783, 2017-11-11
SFCM-master\doc\javadoc\clustering\sfcm\package-tree.html, 6750, 2017-11-11

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发表评论

0 个回复

  • pujianfa-M
    谱减法，很好的，有不错的注释,这个是我们大作业的源程序，试验过的(Pujianfa，very good!)
    2011-01-17 12:15:26下载
    积分：1
  • jiaoyan
    说明：  对原始图像添加椒盐噪声，并用邻域平均和中值滤波法进行滤波，并可以进行对比。(Add salt and pepper noise to the original image, and with neighborhood average and median filtering method for filtering, and can be compared.)
    2011-02-21 13:20:08下载
    积分：1
  • BIHT-l2
    为了解决二进制CS而编写的算法，使用了用l2范数最小化(an algorithm for binary CS,using l2 norm)
    2012-03-29 19:26:33下载
    积分：1
  • plot3d
    这个主要是3D图像显示的一个matlab程序(matlab code on 3D plot )
    2011-09-13 22:22:49下载
    积分：1
  • sfunction_example
    一个简单的s-function的范例，足够多的说明可以将其作为其他s-function的模板(A simple example of s-function, and a sufficient number of instructions can be used as template for other s-function)
    2014-02-19 17:58:37下载
    积分：1
  • pinpu_sanwei
    matlab频谱三维图，时间频率幅值。频谱分析三维图，计算机绘制的三维频谱以频率为横坐标，以振幅为纵坐标，以时间为斜轴，在视觉上是一种立体频谱。(Matlab three dimensional spectrum diagram, time frequency amplitude. Spectrum analysis of three-dimensional map, 3D computer generated by frequency spectrum as the abscissa, the amplitude of the vertical axis, in time for the inclined shaft, the vision is a kind of three dimensional spectrum.)
    2015-04-18 21:23:26下载
    积分：1
  • lms-algorithm
    Implemenation of lms algorithm
    2013-06-07 03:45:55下载
    积分：1
  • Matlab-simulation
    本书讲述了matlab仿真技术与应用教程,钟麟王峰主编(This book tells the Matlab simulation technology and application tutorial)
    2012-04-12 12:51:14下载
    积分：1
  • correlation-dimension
    计算关联维数，利用三线法拟合求斜率，可以画出关联维数随参数变化的曲线(Calculate the correlation dimension, use the three-line method to fit the slope, you can draw the correlation dimension with the parameters of the curve)
    2017-04-20 20:56:29下载
    积分：1
  • LSA
    Least square approximation to solve numerical analysis problems using m file matlab program can solve least square for n order of equations
    2011-01-26 20:24:09下载
    积分：1
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