聚类-K-Means 2019-12-04 09:03 −1.什么是K-Means? K均值算法聚类 关键词:K个种子,均值聚类的概念:一种无监督的学习,事先不知道类别,自动将相似的对象归到同一个簇中 K-Means算法是一种聚类分析(cluster analysis)的算法,其主要是来计算数据聚集的算法,主要通过不断地取离种子点最近均值的算法. K-Mea...
通过像素颜色,纹理等特征来描述图像的具体信息,并结合模糊C 均值聚类(FCM,Fuzzy C-Means) 算法和支持向量机(SVM)的方法展开实验,主要任务如下:1.本文对模糊聚类算法特别是模糊C 均值聚类(FCM,Fuzzy C-Means)分割算法进行细致深入的研究探讨,并认真研究了模糊聚类图像分割算法中初始聚类类别数确定、初始聚类中心和...
R.L.De La Paz, R.Bernstein, W.A.Hanson, and M.G.Walker, “Approximate Fuzzy C-Means (AFCM) Cluster Analysis of Medical Magnetic Resonance Image (MRI) Data - A System for Medical Research and Education”, in IEEE Trans. on Geoscience and Remote Sensing , E-25, pp.815–824, 1987....
2(b) and (c) show the results of the FCM incorporated into the spatial information with parameters (p=1, q=1) and (p=0, q=2), respectively. The conventional FCM successfully classifies the MRI images into six clusters. However, spurious blobs of GM appear inside the WM cluster. The ...
曲线分割和曲面分割分类问题的3个典型数据集为算例,结果表明该方法能够识别不规则的簇,解决了FCM算法对初始聚类中心敏感的缺陷.关键词模糊C均值聚类算法;对应分析;加权FCM算法;模糊隶属度矩阵;类间分离度;类内紧缩度中图分类号TP181文献标志码A文章编号1671—4512(2012)02—0107—05Studyofmulti--prototypefuzzyC-。
A fuzzy C-means cluster analysis method based on genetic algorithm for automatic identification of joint sets is introduced. This method eliminates the local optimality disadvantages of fuzzy C-means cluster algorithm and the subjectivity of traditional methods such as pole and contour plots in ...
Application of Fuzzy C-Means Cluster Algorithm in Identification of Structural Plane Group 模糊C均值聚类算法在结构面组识别中的应用 www.ilib.cn 2. Optimizing Acrylonitrile Reactor Based on Principal Component Analysis and Fuzzy C-Means Cluster 基于主元分析与模糊C均值聚类的丙烯腈反应器优化 ilib.cn©...
Clustering is a key technology widely used in machine learning,pattern recognition,and data mining.Based on dif- ferent similarity estimation methods,Fuzzy C-Means(FCM) clustering simulation experiments are implemented on three UCI known data sets,test results are analyzed from both sides of accuracy...
Find the cluster centers using fuzzy c-means clustering. Get [centers,U] = fcm(fcmdata,options); Iteration count = 1, obj. fcn = 8.97048 Iteration count = 2, obj. fcn = 7.1974 Iteration count = 3, obj. fcn = 6.32558 Iteration count = 4, obj. fcn = 4.58614 Iteration count = 5...
The application of fuzzy c- means cluster analysis and non-linear mapping to geochemical datasets: examples from Portugal. Appl. Geochem. 3, 213-224.Vriend SP, Van Gaans PFM, Middelburg J, De Nijis A (1988). The application of fuzzy c-means cluster analysis and nonlinear mapping to ...