搜索资源列表
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C均值模糊聚类，适用于图像分类，此为MATLAB 程序代码。-C mean fuzzy clustering for image classification, this is MATLAB code.
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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
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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!
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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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Fuzzy C-Mean Clustering algorithm implementation in c sharp
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Fuzzy C-mean Clustering algorithm for wireless sensor networks
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模糊C均值聚类算法处理的图像分割，模糊C均值聚类算法处理的图像分割-An image segmentation method via fuzzy c-means clustering with edge and texture information is proposed. it uses the weighting fuzzy c-mean clustering algorithm to fast implement the segmentation procedure.
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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
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this is code for fuzzy c mean clustering
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code for fuzzy k-mean clustering-code for fuzzy k-mean clustering..
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模糊C均值聚类算法，在C均值的基础上加入隶属度。-Fuzzy C-means clustering algorithm, on the basis of the C mean join the membership.
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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.
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Fuzzy C-means and fuzzy swarm for fuzzy clustering problem
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here i am representing a Fuzzy C mean clustering algorithm java source code
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自己编写的模糊c均值聚类算法MATLAB实现-My preparation of fuzzy C mean clustering algorithm MATLAB implementation
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Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters
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基于核方法的模糊C均值聚类，考虑到空间数据之间的相关性，结合各点的邻域信息，在原代码中添加邻域信息：(The fuzzy C mean clustering based on kernel method, considering the correlation of spatial data and combining the neighborhood information of each point, adding neighborhood information to the origin
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亲测，能实现模糊C均值聚类的MATLAB程序(MATLAB program that can realize fuzzy C mean clustering)
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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
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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
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