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【Windows Develop】 improvedfcm DL : 0: 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
Update : 2024-05-03 Size : 6144 Publisher : zhourl
【Windows Develop】 segment DL : 0: 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.
Update : 2024-05-03 Size : 1713152 Publisher : zhourl
【AI-NN-PR】 improvedregion3 DL : 0: 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.
Update : 2024-05-03 Size : 9216 Publisher : zhourl
【Special Effects】 fcm DL : 0: fkm算法实现，主要应用于图像处理，数据挖掘 -FKM algorithm, mainly used in image processing, data mining
Update : 2024-05-03 Size : 1024 Publisher : tonyan
【Special Effects】 MyImageDB(WatershedandFCM) DL : 0: 先对图像进行开闭滤波，再使用分水岭分割图像，然后使用FCM对初始分割进行聚类，得到最终分割结果，对医学图像效果比较好。-First opening and closing image filtering, re-use watershed segmentation images, then use the FCM clustering of the initial partition, the final segmentation results, the medical image is better.
Update : 2024-05-03 Size : 680960 Publisher : xiaochunlei
【matlab】 subfcm DL : 1: 该算法是结合减法聚类与FCM聚类算法融合的远代码。算法通过融合这两种算法，从而可以直接在线确定聚类数目。-The algorithm is combined with Subtractive Clustering with FCM Clustering Algorithm far integration code. Algorithm through the integration of these two algorithms, which can be directly online to determine the number of clustering.
Update : 2024-05-03 Size : 2048 Publisher : tianbianhai
【matlab】 FCM DL : 0: 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. - 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.
Update : 2024-05-03 Size : 391168 Publisher : 魏嘉
【AI-NN-PR】 tenlei DL : 0: function [U,center,result,w,obj_fcn]= fenlei(data) [data_n,in_n] = size(data) m= 2 ％ Exponent for U max_iter = 100 ％ Max. iteration min_impro =1e-5 ％ Min. improvement c=3 [center, U, obj_fcn] = fcm(data, c) for i=1:max_iter if F(U)>0.98 break else w_new=eye(in_n,in_n) center1=sum(center)/c a=center1(1)./center1 deta=center-center1(ones(c,1),:) w=sqrt(sum(deta.^2)).*a for j=1:in_n w_new(j,j)=w(j) end data1=data*w_new [center, U, obj_fcn] = fcm(data1, c) center=center./w(ones(c,1),:) obj_fcn=obj_fcn/sum(w.^2) end end display(i) result=zeros(1,data_n) U_=max(U) for i=1:data_n for j=1:c if U(j,i)==U_(i) result(i)=j continue end end end -function [U, center, result, w, obj_fcn] = fenlei (data) [data_n, in_n] = size (data) m = 2 Exponent for U max_iter = 100 Max. iteration min_impro = 1e-5 Min. improvement c = 3 [center, U, obj_fcn] = fcm (data, c) for i = 1: max_iter if F (U)> 0.98 break else w_new = eye (in_n, in_n) center1 = sum (center)/ca = center1 (1) ./center1 deta = center-center1 (ones (c, 1),:) w = sqrt (sum (deta. ^ 2)) .* a for j = 1: in_n w_new (j, j) = w (j) end data1 = data* w_new [center, U, obj_fcn] = fcm (data1, c) center = center./w (ones (c, 1),:) obj_fcn = obj_fcn/sum (w. ^ 2) end end display (i) result = zeros (1, data_n) U_ = max (U) for i = 1: data_n for j = 1: c if U (j, i) == U_ (i) result (i) = j continue end end end
Update : 2024-05-03 Size : 3072 Publisher : download99
【GPS develop】 fcm1 DL : 0: 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.
Update : 2024-05-03 Size : 1024 Publisher : download99
【Special Effects】 FCMmatlab DL : 0: 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
Update : 2024-05-03 Size : 6144 Publisher : Mr. Yang
【Special Effects】 julei DL : 0: 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.
Update : 2024-05-03 Size : 123904 Publisher : alexandar
【Special Effects】 fcm DL : 0: 自我感觉是很好的matlab程序，希望对大家有用-Is a very good sense of self, matlab program, in the hope that useful
Update : 2024-05-03 Size : 2048 Publisher : Michael
【JSP/Java】 6666666 DL : 0: FCM算法，用Java实现的，是很不错的程序，在eclipse里面通过。-FCM algorithm, using Java to achieve, is a very good procedures, which passed in eclipse.
Update : 2024-05-03 Size : 14336 Publisher : hbtmthj
【Special Effects】 fcm DL : 0: 很好的模糊聚类算法用MATLAB编写的-Good fuzzy clustering algorithm using MATLAB prepared
Update : 2024-05-03 Size : 5120 Publisher : 汪君
【matlab】 GA-FCM DL : 0: 遗传算法改进的模糊C均值聚类的matlab源程序可以运行格式需要更改-Improved genetic algorithm fuzzy C-means clustering can run the matlab source code need to change format
Update : 2024-05-03 Size : 2048 Publisher : 许翔
【Algorithm】 GOFuzzyv1.0 DL : 0: 数据挖掘，多种聚类算法.FCM, HCM, SVM, 等各种柔性聚类方法。-Data mining, a variety of clustering algorithms. FCM, HCM, SVM, such as flexible clustering method.
Update : 2024-05-03 Size : 8273920 Publisher : xuchen
【Special Effects】 FCMSegmentation DL : 0: 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:)
Update : 2024-05-03 Size : 132096 Publisher : zxr
【Algorithm】 jake_fcm DL : 0: FCM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。-fuzzy clusters method
Update : 2024-05-03 Size : 1940480 Publisher : kt
【Special Effects】 fcmapp DL : 0: 利用FCM方法进行图像分割，比经典的分割方法效果要好-FCM method using image segmentation, segmentation than the classical method is better
Update : 2024-05-03 Size : 1024 Publisher : 李萍
【Books】 FCM-MATLAB DL : 0: 模糊C均值聚类的MATLAB实现,模糊C均值聚类的MATLAB实现
Update : 2024-05-03 Size : 6144 Publisher : julien716

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