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: ,...
令X={x1,x2,⋯,xn}为含有至少c<n个空间分布较远点的数据样本点集,FCM的代价函数定义为: 其中m>1 为模糊加权指数,U=[uij]c×n为 c 个聚类中心vi相对于 n 个样本数据点xj的隶属度矩阵,dij为欧氏距离。 引入拉格朗日乘子,把原带约束的优化问题转化为无约束的优化问题。
从用户的实际需求出发,分析了聚类系统的使用者可能对系统提出的功能要求,提出了一种基于加权Euclid距离的模糊C聚类分析算法。 Comparing with the traditional fuzzy C-means clustering method,this algorithm increase...
Clustering is a classical data mining method applied on a set of items to group like items, thus separating unlike items. Most clustering algorithms give a definite mapping of an item to a cluster, referred to ashard clustering. But in real world, an item can belong to multiple clusters wit...
In the process of clustering, our attention is to find out basic procedures that measures the degree of association between the variables. Many clustering methods use distance measures to find similarity or dissimilarity between any pair of objects. The fuzzy c-means clustering algorithm is one of...
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 by Dunn in 1973 and improved by Bezdek in 1981) is frequently used in pattern recognition. It is based on minimization of the following objective function...
6.Flame Detection Method Based on Fuzzy C-Means Clustering(FCM)基于模糊C均值聚类的火焰检测算法 7.C-Means clustering based on immune genetic algorithm基于免疫遗传算法的模糊C-均值聚类 8.Fuzzy C-means algorithm applied in intuitionistic fuzzy numbers clustering模糊C-均值算法在直觉模糊数聚类中的应用 9...
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...
模糊C-均值聚类 1. Therefore,based on the fuzzy C-means cluster method and the compact and separate cluster validity function,a dynamic fuzzy C-means clustering method and corresponding cluster validity function based time are put forward,and a s. 鉴于目前常规聚类方法不同时具备这些能力,在模糊C-均...