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 (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: ,...
In this paper, we present a fuzzy c-means (FCM) algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of the membership function in the neighborhood of each pixel under consideration. The advantages of the new method are ...
Specify the exponent the fuzzy partition matrix, which controls the degree of fuzzy overlap between clusters. This value must be greater than1, with smaller values creating more crisp cluster boundaries. For more information, seeAdjust Fuzzy Overlap in Fuzzy C-Means Clustering. ...
We propose a novel semi-supervised clustering method called GO Fuzzy c-means, which enables the simultaneous use of biological knowledge and gene expression data in a probabilistic clustering algorithm. Our method is based on the fuzzy c-means clustering algorithm and utilizes the Gene Ontology annot...
Specify clustering options using an fcmOptions object. For this example, set the number of clusters to 2 and use default values for the other options. options = fcmOptions(NumClusters=2); Find the cluster centers using fuzzy c-means clustering. [centers,U] = fcm(fcmdata,options); Iteration...
FCM Data set clustering using fuzzy c-means clustering5个回答 FCM数据集聚类模糊C -均值聚类 2013-05-23 12:21:38 回答:匿名贝卡套数据集中使用模糊C-指群集 2013-05-23 12:23:18 回答:匿名FCM成群使用模糊的数据集c意味成群 2013-05-23 12:24:58 回答:匿名FCM 数据集使用模糊 c-均值聚类的聚类 ...
空间加权距离的GIS数据FuzzyC-means聚类方法与应用分析王海起,张腾,彭佳琦,董倩楠(中国石油大学(华东)地球科学与技术学院,青岛266580)摘要:Fuzzyc-means聚类常采用普通欧式距离进行相似性度量,对于地理空间对象来说,聚类不仅应考虑属性特征的相似性,还应考虑对象的空间邻近性。本文基于普通欧式距离提出了多种形式的空间...
Self-adaptivestrategywiththetraditionalfuzzyC-meansclusteringalgorithmforms a newfuzzyclusteringalgorithm. 把自适应的策略与传统的模糊C均值聚类算法结合起来,形成新的模糊聚类算法。 kns50.chkd.cnki.net 2. ThefuzzyconceptsaredevelopedbyfuzzyC-meansclusteringmethodtodescribecrackandwrinklingoftheoilpan. ...
This paper proposes a new kind of data weighted fuzzy c-means clustering approach. Different from most existing fuzzy clustering approaches, the data weighted clustering approach considers the internal connectivity of all data points. An exponent impact factors vector and an influence exponent are intro...