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Description: 进行kcm和fcm聚类分割图象的性能比较-kcm for clustering segmentation and image fcm Performance Comparison
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Size: 1024 |
Author: 陈宇翔 |
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Description: 用matlab对于FCM代码实现，不同于matlab中库函数-Used matlab code for FCM realize, unlike in matlab library function
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Size: 1024 |
Author: 徐军 |
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Description: 里面有模糊聚类分类方法FCM的代码和数字水印算法LSB的实现代码!-There are fuzzy clustering of FCM classification code and digital watermarking algorithm LSB realization of code!
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Size: 1024 |
Author: 代松 |
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Description: matlab遗传算法工具箱函数及实例讲解1
核心函数： 初始种群的生成函数 -matlab genetic algorithm toolbox and examples of function on one core function: the initial population of the generating function
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Size: 1024 |
Author: xjk |
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Description: FCM聚类算法的MATLAB实现，还有一些聚类算法的matlab其他实现方法。-FCM clustering algorithm of MATLAB realize, there are some clustering algorithm matlab realize other methods.
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Size: 12288 |
Author: qingfeng11999 |
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Description: 利用PCA和模糊C均值相结合的方法实现图象的聚类-Using PCA and fuzzy C-means method of combining images to achieve the clustering
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Size: 1024 |
Author: 王英 |
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Description: 这是一个常用的基于Fcm的图像分割源程序，希望对大家有用-This is a commonly used image segmentation based on FCm source, in the hope that useful to everybody
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Size: 1024 |
Author: 郑伟 |
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Description: 基于FCM的彩色图象的分割的MATLAB源代码-FCM-based segmentation of color images of the MATLAB source code
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Size: 20480 |
Author: 罗明星 |
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Description: 模糊C聚类的应用!!利用MATLAB本身自带的FCM函数做的一个例子-Application of fuzzy clustering C!! Using MATLAB itself FCM
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Size: 5120 |
Author: chaochao |
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Description: fcm是模糊c均值聚类算法，确定聚类中心以后，通过循环迭代，确定最佳聚类中心-FCM is a fuzzy c means clustering algorithm to determine the cluster center, the adoption cycle of iteration, to determine the optimal cluster center
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Size: 6144 |
Author: zhourl |
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Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
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Size: 1713152 |
Author: zhourl |
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Description: FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进，普通C均值算法对于数据的划分是硬性的，而FCM则是一种柔性的模糊划分。在介绍FCM具体算法之前我们先介绍一些模糊集合的基本知识。-FCM algorithm is a clustering algorithm based on the division of its thinking is that it is making is divided into clusters with the greatest similarity between the object, and different similarity between the smallest cluster. Fuzzy C-means algorithm is an ordinary C-means algorithm, the general C-means algorithm for data delineation is rigid, while the FCM is a soft fuzzy partition. FCM in the introduction prior to the specific algorithm we first introduce some basic knowledge of fuzzy sets.
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Size: 9216 |
Author: zhourl |
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Description:
Initialize U=[uij] matrix, U(0)
At k-step: calculate the centers vectors C(k)=[cj] with U(k)
Update U(k) , U(k+1)
If || U(k+1) - U(k)||< then STOP otherwise return to step 2.
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Initialize U=[uij] matrix, U(0)
At k-step: calculate the centers vectors C(k)=[cj] with U(k)
Update U(k) , U(k+1)
If || U(k+1)- U(k)||< then STOP otherwise return to step 2.
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Size: 391168 |
Author: 魏嘉 |
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Description: function [U,V,num_it]=fcm(U0,X)
％ MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J.
％ Hathaway on June 21, 1994.) The fuzzification constant
％ m = 2, and the stopping criterion for successive partitions is epsilon =??????.
％*******Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug********
％ Purpose:The function fcm attempts to find a useful clustering of the
％ objects represented by the object data in X using the initial partition in U0. -function [U, V, num_it] = fcm (U0, X) MATLAB (Version 4.1) Source Code (Routine fcm was written by Richard J. Hathaway on June 21, 1994.) The fuzzification constant m = 2, and the stopping criterion for successive partitions is epsilon =??????.******* Modified 9/15/04 to have epsilon = 0.00001 and fix univariate bug******** Purpose: The function fcm attempts to find a useful clustering of the objects represented by the object data in X using the initial partition in U0.
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Size: 1024 |
Author: download99 |
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Description: 用matlab实现了FCM图像分割，分割效果较好。有说明-Matlab achieved using FCM image segmentation, segmentation better. Described
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Size: 6144 |
Author: Mr. Yang |
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Description: 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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Size: 123904 |
Author: alexandar |
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Description: FCM 模糊C均值聚类算法。使用说明：这是一个可以人机交互的FCM算法，首先使用鼠标圈定一个矩形区域，则算法自动施加于目标区域:) Have Fun :)-FCM fuzzy C means clustering algorithm. Usage: This is a can of HCI FCM algorithm, the first to use the mouse a rectangular area delineation, the algorithm automatically imposed on the target area:) Have Fun:)
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Size: 132096 |
Author: zxr |
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Description: 模糊C均值分类，用于图像处理中 很好用的，极力推荐 -Fuzzy C-means classification, used for image processing in a very good use, and strongly recommend
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Size: 2048 |
Author: zf_528 |
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Description: 通过模糊c-均值（FCM）聚类实现图像的分割。-Through the fuzzy c-means (FCM) clustering to achieve image segmentation.
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Size: 566272 |
Author: qht |
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Description: 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
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Size: 1380352 |
Author: 大长今 |
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