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...
Parallel Fuzzy c-Means Cluster Analysis. Proceedings of the 7th VecPar, pp. 139-142.Modenesi M.V., Costa M.C.A., Evsukoff A.G., Ebecken N.F.F., Parallel Fuzzy c- Means Cluster Analysis, Seventh International Meeting on High Performance Computing for Computational Science, VECPAR'06, ...
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-。
de Nijs (1988), The application of fuzzy c-means cluster analysis and non-linear mapping to geochemical data sets: Examples from Portugal, Appl. Geochem. 3, 213-224.Vriend, S.P., van Gaans, P.F., Middelburg, J., de Nijs, A., 1988. The application of fuzzy c-means cluster ...
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...
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©...
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-...
Based on field measured data of joint sets,analysis steps,parameter selection,cluster validity,and determination of dominant direction for identification of the joint sets by the method,are discussed. 展开 关键词: rock mechanics rock mass joint fuzzy C-means cluster algorithm genetic algorithm ...
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...