importnumpyasnpimportstructimportmatplotlib.pyplotaspltclassFuzzyCmeans:def__init__(self,k,maxiter,data,labels):self.k=k# k是簇的数目self.maxiter=maxiter# 最大迭代次数self.membership_matrix#模糊隶属度矩阵self.data=data# 输入的数据,是一个(m,n*n)的数组,m代表有m个测试图,n*n是特征。# (例如...
a安装纱窗,通风良好 The installment screen window, ventilates good[translate] aFuzzy C-means clustering algorithm is a local search algorithm, and it is very sensitive to the initial value. 模糊C意味使成群的算法是一个地方搜索算法,并且它对原始价值是非常敏感的。[translate]...
浅谈模糊C均值聚类(Fuzzy C-means Clustering) 定义: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。 假设样本集...
Fuzzy C-Means Clustering AlgorithmRohan_Mittal
Fuzzy c-means (FCM) is a method of clustering which allows one piece of data to belong to two or more clusters. This method (developed byDunn in 1973and improved byBezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function: ...
andhasexcellentclusteringperformance.Keywords:FuzzyC-Means(FCM)clustering;ConditionalFuzzyC-Means(CFCM)clustering;fuzzypartitionmatrix摘要: 在综合分析标准的模糊C - 均值聚类算法和条件模糊C - 均值聚类算法基础上, 对模糊划分空间进行修改, 进一步弱化模糊划分矩阵的约束, 给出一种扩展的条件模糊C . 均值聚类算法...
The fuzzy C means clustering (FCM, Fuzzy C-Means) theory is a combination of texture measurement and adaptive laws threshold image segmentation algorithm FCM. Through the experiment, simulation results show that the adaptive threshold method of image segmentation results human visual perception system ...
快速模糊C均值聚类1. Research on Multiple People Tracking Based on Temporal Color Feature and Fast Fuzzy C-means Clustering; 首先用一种改进的背景减除方法检测行人的运动轮廓;然后将检测出的行人的轮廓区域分割成代表单人的轮廓区域;再用快速模糊C均值聚类的算法提取每个人的颜色特征;最后利用点特征和颜色...
A multivariate fuzzy c-means method 2013, Applied Soft Computing Journal Citation Excerpt : Chen et al. has studied the application of fuzzy methods [24–28]. Tang et al. [29] proposed a new kind of data weighted fuzzy c-means clustering approach. Mei and Chen [30] characterized each clu...