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模糊c-均值算法是模糊聚类
- 模糊c-均值算法是模糊聚类中最常见、应用最广泛的分析方法之一.经典FCM算法理论和应用的研究已经相当成熟,Bezdek业已证明算法的收敛性[6],许多软件提供了多种方便的FCM工具箱(如Matlab中FCM工具箱等).但是传统FCM算法处理的是普通数据集,不能直接处理区间数,得到的聚类原型也不是区间数.针对区间数,一种直觉的方法是分别对左区间值和右区间值作FCM,并把得到的聚类原型分别作为区间型聚类原型的左右区间值,但这种方法已经被证明是行不通的[6]-fuzzy c-means cluster
fuzzy-c-cluster
- 这是关于模糊K聚类的pdf文件,供大家学习
kmeans
- 基于K-means的模糊聚类分析方法,很有用的-Based on the fuzzy K-means cluster analysis, very useful
yichuanmohusuanfa
- 模糊聚类算法,实现对数据的聚类分析,供大家参考-Fuzzy clustering algorithm, the realization of the cluster analysis of data for the U.S. reference
FUZZCLUST
- matlab上实现的模糊聚类算法,相当有用,是一个聚类工具箱。-matlab on the fuzzy clustering algorithm to achieve very useful, is a cluster toolkit.
mode
- 基于VC的各种聚类和分类算法程序。 手写数字或者打开已有的手写数字图像后,在右视图空白处,单击鼠标左键,激活右视图,选择菜单中的各种分类算法,可以对手写数字进行分类。有模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类器。 在左视图上单击鼠标左键,可获得3种数据源:标准数字聚类、手画图形聚类、位图文件分析聚类。可以进行特征提取、模糊聚类和遗传算法。-VC-based clustering and classification algorithm for a
VCfcm
- FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分-FCM algorithm is a clustering algorithm based on division, and its thinking that it is making is divided into the same cluster of the bigge
jull
- 模糊C均值聚类(FCM),即众所周知的模糊ISODATA,是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy C means clustering (FCM), known as fuzzy ISODATA, is used to determine membership of each data point belongs to a cluster of a clustering algorithm level.
ClusteirngAnalysis
- This work presents an implementation of a parallel Fuzzy c-means cluster analysis tool, which implements both aspects of cluster investigation: the calculation of clusters’ centers with the degrees of membership of records to clusters, and
Fuzzyclusteringcode
- 通过收集数据来建立模糊聚类相似矩阵来对数据进行统计很方便-By collecting data to establish fuzzy similar matrix to cluster the data statistics is easy
mhjl
- 在科学技术、经济管理中常常要按一定的标准(相似程度或亲疏关系)进行分类。例如,根据生物的某些性状可对生物分类,根据土壤的性质可对土壤分类等。对所研究的事物按一定标准进行分类的数学方法称为聚类分析,它是多元统计“物以类聚”的一种分类方法。由于科学技术、经济管理中的分类界限往往不分明,因此采用模糊聚类方法通常比较符合实际。-In science and technology, economic management, often according to certain criteria (sim
mohuchuli
- 模糊C均值聚类算法的步骤还是比较简单的,模糊C均值聚类(FCM),即众所周知的模糊ISODATA,是用隶属度确定每个数据点属于某个聚类的程度的一种聚类算法。-Fuzzy c-means clustering algorithm steps it is quite simple, fuzzy c-means clustering (FCM), known as fuzzy membership ISODATA, it is to use to make sure that each data po
FCM
- FCM算法是一种基于划分的聚类算法,它的思想就是使得被划分到同一簇的对象之间相似度最大,而不同簇之间的相似度最小。模糊C均值算法是普通C均值算法的改进,普通C均值算法对于数据的划分是硬性的,而FCM则是一种柔性的模糊划分。-FCM algorithm is a clustering algorithm based on division, the idea is to make it to the same cluster is divided into the biggest similari
clusterfcm2
- fuzzy mean in 3-d .the algorithm is in the dataset for state 3-dinmontional for analyse cluster RFM.
fcm3d
- fuzzy mean for clustering in the matlab.cluster do in environment 3-dimontional.
trickl-cluster-master
- java FCM program it contain classes of clustering with fuzzy c means algorithm in java -java FCM program it contain classes of clustering with fuzzy c means algorithm in java
fuzzykernal
- 模糊聚类分析计算, 利用MATLAB完成的模糊聚类算法,功能非常强大(Fuzzy cluster calculation)
新建文件夹
- 模糊数学中有关模糊聚类分析中传递闭包的求法(The solution of transitive closure in fuzzy cluster analysis in fuzzy mathematics)
FCM聚类
- FCM聚类分析matlab代码可进行模糊c聚类分析!(FCM clustering analysis of matlab code for C fuzzy cluster analysis!)
MRF_FCM
- 实现模糊聚类算法(FCM)与马尔科夫随机场空间约束(MRF)的图像分割、SAR图像变化检测(Fuzzy Cluster Method and Markov Random Field for Image Segmentation or SAR Change Detection)