Image segmentation is considered an important step in image processing. Fuzzy c-means clustering is one of the common methods of image segmentation. However, this method suffers from drawbacks, such as sensitivity to initial values, entrapment in local o
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: ,...
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...
2) fuzzy C-means clustering 模糊C-均值聚类 1. Escaped toll analysis of ETC system customer data based on fuzzy C-means clustering; 基于模糊C-均值聚类的ETC系统客户的逃费分析研究 2. In order to recognize the pollutant sources and build the correspondence relationships between contaminated sources ...
模糊C均值聚类(Fuzzy C-means)算法简称FCM算法,是软聚类方法的一种。FCM算法最早由Dunn在1974年提出然后经 Bezdek推广。 硬聚类算法在分类时有一个硬性标准,根据该标准进行划分,分类结果非此即彼。 软聚类算法更看重隶属度,隶属度在[0,1]之间,每个对象都有属于每个类的隶属度,并且所有隶属度之和为 1,即更接近...
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。
1)Fuzzy c-means clustering模糊C-均值聚类算法 英文短句/例句 1.Non-local denoising fast fuzzy C-means clustering algorithm非局部降噪快速模糊C-均值聚类算法 2.Fuzzy C-Means Algorithm and Its Application in Image Segmentation模糊C-均值聚类算法及其在图像分割中的应用 3.Faults Diagnosis for Dehumidifier ba...
fuzzy c mean In subject area: Computer Science Fuzzy c-means clustering is a fuzzy variant of the k-means algorithm that computes the centroid of a cluster as the mean of all examples, weighted by their degree of belonging to the cluster. AI generated definition based on: Machine Learning ...
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...