Fuzzy C-means (FCM) clustering algorithm is an important and popular clustering algorithm which is utilized in various application domains such as pattern recognition, machine learning, and data mining. Although this algorithm has shown acceptable performance in diverse problems, the current literature ...
The Algorithm 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 ...
1.Because the spatial information is not considered in the traditional fuzzy c-means(FCM) clustering algorithm,the serious inaccuracies with synthetic aperture radar(SAR) image segmentation can be caused by using the FCM algorithm.传统模糊c-均值聚类算法没有考虑图像像素空间信息特征,在应用于合成孔径雷达...
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...
An improved Fuzzy C-Means (FCM) algorithm, which is called Reliability-based Spatial context Fuzzy C-Means (RSFCM), is proposed for image segmentation in this paper. Aiming to improve the robustness and accuracy of the clustering algorithm, RSFCM integrates neighborhood correlation model with the...
Fuzzy c-means clustering — Each data point belongs to each cluster to a degree that is specified by a fuzzy membership grade. Subtractive clustering — A fast nonfuzzy algorithm for estimating the number of clusters in a data set. Fuzzy C-Means Clustering ...
一本文是完全基于JAVA语言实现Fuzzy C-Means聚合算法,并可以运用到图像处理中实现简 单的对象提取。 一:数学原理 在解释数学原理之前,请先看看这个链接算是热身吧 http://home.deib.polimi.it/matteucc/Clustering/tutorial_html/cmeans.html。 看不懂没关系。我的解释足够详细,小学毕业都可以学会,本人就是小学毕...
[3] hehroz S.Khan,Amir Ahmad.Cluster center initialization algorithm for Fuzzy C-means clustering[J].Pattern Recognition Letters 25(2004): 1293-1302. [4] 王春风,唐拥政.结合近邻和密度思想的K-均值算法的研究[J] 计算机工程应用.2011 年,47(19).147-149. ...
Based on the defect of rival checked fuzzy c-means clustering algorithm, a new algorithm: suppressed fuzzy c-means clustering algorithm is proposed. The new algorithm overcomes the shortcomings of the original algorithm, establishes more natural and more reasonable relationships between hard c-means cl...
(c– 1). Then, each itemxiof the finite setXhas the flexibility of mapping to one or more clusters. Hence, a membership or affinity score is introduced here,uij, which is for itemxiwith respect toCj. This type of clustering is calledsoft clustering. Since it brings in an element of ...