搜索资源列表
-
1下载：
一个FMEAN神经网络代码,是matlab开发的模糊聚类-FMEAN a neural network code is developed Matlab fuzzy clustering
-
-
1下载：
自行implement的k-mean(含fuzzy c mean)，可以直接於vc++針對大量數據進行分群的動作-Implement on its own the k-mean (with fuzzy c mean), can be directly in vc++ For clustering large amount of data movement
-
-
1下载：
实现了Fuzzy C-Mean的方法，这是一种基于模糊数学的聚类方法，很好用！-Implementation of Fuzzy C-Mean method, which is a math-based Fuzzy Clustering Method, a very good use!
-
-
0下载：
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.
-
-
0下载：
Fuzzy C-mean Clustering algorithm for wireless sensor networks
-
-
1下载：
在matlab平台下实现的FCM（模糊C均值）聚类分割-In the matlab platform to achieve FCM (fuzzy C mean) clustering segmentation
-
-
1下载：
this is code for fuzzy c mean clustering
-
-
0下载：
code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
-
-
1下载：
Example Fuzzy C-Mean clustering kddcup-Example Fuzzy C-Mean clustering kddcup99
-
-
0下载：
Fuzzy C mean clustering algorithm which is implemented in matlab. That is well-known clustering algorithm. This code can help you to used FCM clustering algorithm.
-
-
1下载：
In this paper, the expert system is introduced in
order to detect and classify commonly power quality
disturbances. This system is using learning vector quantization
artificial neural networks. Clustering method named fuzzy
c-mean is also
-
-
0下载：
Fuzzy c mean clustering on random data
-
-
0下载：
Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
-
-
0下载：
fuzzy c mean clustering, fuzzy edge detection of an medical image
-
-
0下载：
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。-
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
-
-
0下载：
Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
-
-
1下载：
模糊c-均值聚类算法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，一般用于故障识别与分类。(Fuzzy c- mean clustering algorithm obtains the membership degree of every sample point to all class centers by optimizing the objective function, and determines the classifi
-
-
0下载：
使用模糊C均值聚类（FCM）的方法对状态进行分类，其优点首先是可以根据实际情况自动确定聚类中心，减少人工干涉的因素，其次，对状态特征参数不是进行硬分类，而是通过隶属度的表征方式对其聚类，更加符合现实状态类别之间不具备明显界限的实际问题。(The use of fuzzy C mean clustering (FCM) method to classify the state, its advantage is first can automatically determine the clust
-
-
0下载：
实现灰度图像的模糊C均值聚类，并显示迭代次数和迭代结果(The fuzzy C mean clustering of gray image is realized, and the number of iterations and iterations are displayed.)
-
-
0下载：
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 fuzzy c-means algorithm (FCMA) or FCM. Among the many fuzzy clustering a
-
