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- 基于C-MEANS的聚类模糊算法c程序，可应用于载机编队实现对多目标的攻击任务的分配-Based on C-MEANS fuzzy clustering algorithm c procedures can be applied to the carrier aircraft fleet to achieve the task assigned to attack multiple targets of
fkm_run
- 用IDL编写的模糊C-均值分类的代码，希望读者喜欢-IDL prepared by the fuzzy C-means classification code, I hope readers like
5929087
- 基于matlab的核模糊C-means聚类算法(KFCM),不错的-Based on matlab fuzzy C- means clustering algorithm (KFCM), good
setvar
- 模糊C均值的详细说明文档,还包括硬分类与模糊分类的区别,欢迎下载,-A detailed descr iption of the fuzzy c-means document, but also the difference between hard classification and fuzzy classification, welcome to download,
New Microsoft Excel Worksheet
- A good example of two dimension H Boundary element potential measur Classical algorithm matlab Bounda ant colony optimization (ACO) The pretreatment of the mechanica Fuzzy C-means algorithm for clust matlab m file,draw all surface Imper
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- 基于matlab的核模糊C-means聚类算法(KFCM),不错的(Based on matlab fuzzy C - means clustering algorithm (KFCM), good)
rfpcm
- rough fuzzy partioning c means algorithm
常用聚类
- 常用聚类的MATLAB程序，调试均可用。包含k均值聚类、模糊C均值聚类、模糊减法聚类、谱系聚类(Common clustering MATLAB program, debugging are available. Including k-means clustering, fuzzy C-means clustering, fuzzy subtraction clustering, pedigree clustering)
FCM
- 模糊C均值(FCM)聚类算法分割图像，该算法可以进行图像的分割(Fuzzy C-Means (FCM) clustering algorithm to segment images, which can be used for image segmentation)
04657872GAFCM
- 遗传算法改进的模糊C-均值聚类MATLAB源码.模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最优分类结果。(Improved genetic algorithm and fuzzy C- means clustering MATLAB source. The fuzzy C- means algorithm is easy to converge to local m
模糊聚类R代码
- 模糊c-均值聚类算法 fuzzy c-means algorithm (FCMA)或称（ FCM）。在众多模糊聚类算法中，模糊C-均值（ FCM） 算法应用最广泛且较成功，它通过优化目标函数得到每个样本点对所有类中心的隶属度，从而决定样本点的类属以达到自动对样本数据进行分类的目的。(Fuzzy c-means clustering algorithm or FCM. Among many fuzzy clustering algorithms, the Fuzzy C-Means algori
fcm
- 一种快速的抗噪声模糊C均值图像分割算法 图像分割就是把图像分成若干个特定的、具有独特性质的区域并提出。该算法结合像素灰度值相似度和隶属度构造了一个新的空间函数。该空间函数用于更新成员关系，而成员关系又用于迭代地获取聚类中心。所提出的算法可以在较少的迭代次数下获得理想的分割结果，有效地降低了噪声的影响。(A fast anti noise Fuzzy C-Means Image Segmentation AlgorithmImage segmentation is to divide the i