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文件名称:FuzzyClusteringToolbox

  • 所属分类：
  • matlab例程
  • 资源属性：
  • [Matlab] [源码]
  • 上传时间：
  • 2017-08-12
  • 文件大小：
  • 1.98mb
  • 下载次数：
  • 0次
  • 提 供 者：
  • soloyuy********
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修正介绍说明

介绍说明－－下载内容均来自于网络，请自行研究使用

模糊聚类分析一般是指根据研究对象本身的属性来构造模糊矩阵，并在此基础上根据一定的隶属度来确定聚类关系，即用模糊数学的方法把样本之间的模糊关系定量的确定，从而客观且准确地进行聚类。聚类就是将数据集分成多个类或簇，使得各个类之间的数据差别应尽可能大，类内之间的数据差别应尽可能小，即为“最小化类间相似性，最大化类内相似性”原则。(Fuzzy clustering analysis generally refers to the construction of fuzzy matrix based on the attributes of the research object itself, and on this basis, according to a certain degree of membership to determine the cluster relationship, that is, fuzzy mathematics method to determine the fuzzy relationship between the quantitative , So that the objective and accurate clustering. Clustering is the data set is divided into multiple classes or clusters, so that the data between the various categories should be as large as possible, the data between the class should be as small as possible, that is, "minimize the similarity between classes, Class similarity "principle.)
相关搜索： 模糊聚类算法

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下载文件列表

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\FCMcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\GGcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\GKcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\Kmeanscall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\Kmedoidcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle\MotorCycle.txt

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\FCMcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\GGcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\GKcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\Kmeanscall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\Kmedoidcall.m

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic\nDexample.m

FuzzyClusteringToolbox\Demos\clustevalexample\data2.txt

FuzzyClusteringToolbox\Demos\clustevalexample\evalexample.m

FuzzyClusteringToolbox\Demos\comparing\FCMcall.m

FuzzyClusteringToolbox\Demos\comparing\GGcall.m

FuzzyClusteringToolbox\Demos\comparing\GKcall.m

FuzzyClusteringToolbox\Demos\comparing\Kmeanscall.m

FuzzyClusteringToolbox\Demos\comparing\Kmedoidcall.m

FuzzyClusteringToolbox\Demos\comparing\modvalidity.m

FuzzyClusteringToolbox\Demos\comparing\nDexample.m

FuzzyClusteringToolbox\Demos\normexample\data3.txt

FuzzyClusteringToolbox\Demos\normexample\normexample.m

FuzzyClusteringToolbox\Demos\optnumber\modvalidity.m

FuzzyClusteringToolbox\Demos\optnumber\MotorCycle.txt

FuzzyClusteringToolbox\Demos\optnumber\optnumber.m

FuzzyClusteringToolbox\Demos\PCAexample\nDexample.m

FuzzyClusteringToolbox\Demos\PCAexample\PCAexample.m

FuzzyClusteringToolbox\Demos\projection\IRIS.MAT

FuzzyClusteringToolbox\Demos\projection\visual_call.m

FuzzyClusteringToolbox\Demos\projection\WINEDAT.TXT

FuzzyClusteringToolbox\Demos\projection\wisconsin.wk1

FuzzyClusteringToolbox\FUZZCLUST\clusteval.m

FuzzyClusteringToolbox\FUZZCLUST\clust_denormalize.m

FuzzyClusteringToolbox\FUZZCLUST\clust_normalize.m

FuzzyClusteringToolbox\FUZZCLUST\FCMclust.m

FuzzyClusteringToolbox\FUZZCLUST\FuzSam.m

FuzzyClusteringToolbox\FUZZCLUST\GGclust.m

FuzzyClusteringToolbox\FUZZCLUST\GKclust.m

FuzzyClusteringToolbox\FUZZCLUST\Kmeans.m

FuzzyClusteringToolbox\FUZZCLUST\Kmedoid.m

FuzzyClusteringToolbox\FUZZCLUST\nDexample.m

FuzzyClusteringToolbox\FUZZCLUST\PCA.m

FuzzyClusteringToolbox\FUZZCLUST\PROJEVAL.M

FuzzyClusteringToolbox\FUZZCLUST\SAMMON.M

FuzzyClusteringToolbox\FUZZCLUST\SAMSTR.M

FuzzyClusteringToolbox\FUZZCLUST\validity.m

FuzzyClusteringToolbox\FuzzyClusteringToolbox.pdf

FuzzyClusteringToolbox\Demos\clusteringexamples\motorcycle

FuzzyClusteringToolbox\Demos\clusteringexamples\synthetic

FuzzyClusteringToolbox\Demos\clusteringexamples

FuzzyClusteringToolbox\Demos\clustevalexample

FuzzyClusteringToolbox\Demos\comparing

FuzzyClusteringToolbox\Demos\normexample

FuzzyClusteringToolbox\Demos\optnumber

FuzzyClusteringToolbox\Demos\PCAexample

FuzzyClusteringToolbox\Demos\projection

FuzzyClusteringToolbox\Demos

FuzzyClusteringToolbox\FUZZCLUST

FuzzyClusteringToolbox

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