搜索资源列表
CLUSTERMATLAB
- 可方便地实现聚类分析,MATLAB版的,多多珍惜啊-Can easily realize cluster analysis, MATLAB version, a lot of Value ah
cluster-2.9
- ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proxi
RBF
- 文中设计了一个3层径向基神经网络(RBFN)用于对企业的5项评价指标进行聚类分析,并与蚁群算法做了比较分析。RBFN由输入层 到隐含层采用传统的K一均值算法,隐含层到输出层通过“模2递减”学习速率的BP学习;蚁群算法根据信息素的分配能够自动调整收索 路径,从而达到数据自动聚类的目的。结果表明,与蚁群算法相比,改进RBFN具有快速收敛、自动识别奇异样本的优点,而蚁群算法 无须教师学习,并能够达到全局最优。-In this pa
mohujulei1
- 包括模糊聚类分析数据各种标准化变换、模糊聚类分析建立模糊相似矩阵的各种方法-Fuzzy Cluster Analysis, including a variety of standardized data transformation, fuzzy cluster analysis to establish fuzzy similar matrix of the various methods
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
Classification
- 1)打开“聚类分析软件”文件夹,点击“聚类分析.msi”安装程序,在安装向导中选择安装目录,安装完成。 2)打开Matlab软件程序,将当前工作目录设为“聚类分析”的安装目录,在命令行中输入“Cluster”命令,即可打开聚类分析软件。 -1) Open a
classanalysis
- 1)解压缩 2)打开“聚类分析软件”文件夹,点击“聚类分析.msi”安装程序,在安装向导中选择安装目录,安装完成。 3)打开Matlab软件程序,将当前工作目录设为“聚类分析”的安装目录,在命令行中输入“Cluster”命令,即可打开聚类分析软件。 4)内有多种模式识别方法可以使用 -1) Extract 2) Open the
jlfx
- 本程序实现模糊数学中聚类分析算法,该算法通过递归来实现分类。-This procedure in the realization of fuzzy cluster analysis algorithm to achieve through the recursive classification.
KmeanCluster
- 数据挖掘中的聚类算法简单实例,实现对数字的聚类分析,可以帮助初学者理解聚类算法-Data mining clustering algorithm simple example of the realization of the cluster analysis of the figures that can help beginners understand the clustering algorithm
K
- K-均值聚类算法,对数据进行聚类分析,可用于提取关键帧等。用matlab实现-K-means clustering algorithm, cluster analysis of data that can be used, such as key fr a me extraction. Using matlab to achieve
GetDistance
- 用聚类分析算法计算样本之间的距离,函数形式为: GetDistance(pattern1,pattern2,type)-Cluster analysis algorithm using the distance between samples, function form: GetDistance (pattern1, pattern2, type)
methods_of_classification
- 这里和大家分享的几种基础的分类方法,其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
QVCS-Enterprise2.1.11
- 图像数据的模糊聚类分析,图像识别、图像分割,包含FCM算法。-Image data of the fuzzy cluster analysis, image recognition, image segmentation, including the FCM algorithm.
kcluster
- 一种基于软划分方法的聚类方法——模糊k均值法聚类分析。-A division of methods based on soft clustering method- fuzzy k-means cluster analysis.
Cluster
- 使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three s
C-means
- 使用c-均值聚类算法在IRIS数据上进行聚类分析,随机选择三个初始聚类中心,经过多次迭代,最终将150个样本分为三类。-Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 sam
Cmeansalgorithmmatlabprocessprocedures
- C均值法的程序算法matlab 程序,本程序用MATLAB实现了聚类分析的功能,保存tex文件中,无数据-C-means algorithm matlab process procedures, the procedures used MATLAB implementation of the cluster analysis function, preservation of tex file, no data
MultiStati
- 方差分析与MATLAB应用、聚类分析及MATLAB应用、主成分分析及MATLAB应用。-Analysis of variance with the MATLAB application, the application of cluster analysis and MATLAB, principal component analysis and MATLAB applications.
ClusterPackV10
- 聚类分析工具箱 亚历山大博士写的,用于聚类分析,功能比较全-Cluster Analysis and Cluster Ensemble Software ClusterPack is a collection of Matlab functions for cluster analysis. It consists of the three modules ClusterVisual, ClusterBasics, and Clus
EM-matlab
- 用matlab实现EM算法,进行聚类分析。-EM algorithm using matlab to achieve, for Cluster Analysis.