搜索资源列表
matlab -自带 fcm解析
- matlab自带的fcm聚类源代码分析详解。
Fuzzy-Cluster-Analysis
- 利用VB来实现的模糊聚类分析,形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand.
SA_GA
- 基于遗传模拟退火算法的聚类算法。将模拟退火算法与遗传算法相结合用于聚类分析,由于模拟退火算法和遗传算法可以互相取长补短,因此有效地克服了传统遗传算法的早熟现象,同时根据聚类问题的具体情况设计遗传编码方式、适应度函数,使该算法更有效、更快速地收敛到全局最优解。 -Genetic simulated annealing algorithm based on clustering algorithms. Simulated annealing algorithm and genetic algo
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
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 separate components of the meas
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 ClusterEnsemble as described in t
K-means
- k-means算法的实现,实用matlab是实现的,可以用啦做聚类分析-k-means algorithm for the realization of the practical realization of matlab, so you can use cluster analysis
MatlabFuzzyClusteringAnalysis
- 采用K- means 算法和FCM 算法实现对47 个城市竞争力的聚类分析-Using K-means algorithm and FCM algorithm to achieve the competitiveness of 47 cities in the cluster analysis
zfk_example
- 聚类分析里的k均值(kmeans)算法的matlab实现,是老师即将出的书里,我给写的例子,大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
yiqunsuanfa
- 蚁群算法,用于进行聚类分析,或者进行故障模式识别-ACO
ClusteringToolbox1p0_Trail
- 聚类分析Matlab工具箱 Version1.0 Clustering Analysis Matlab Toolbox - Trial Version 1.0 ------------------------------------------------------------------------------ 1、该工具箱包括了常用的三种K-Means聚类分析和ISODATA聚类分析: ...\KMeans\Main_KMeans.m 标准 K-M
cluster-analysis
- 聚类分析的matlab源代码,文件中5种方法方法,每种方法都有测试数据-Cluster analysis matlab source code, documentation methods, 5 methods, each method has the test data
k-means-algorithm-program
- 用于实现k-means聚类分析的matlab代码-Used to implement k-means clustering analysis matlab code
ISODATA MATLAB编码
- 迭代自组织数据分析算法(Iterative Self-Organizing Data Analysis Techniques Algorithm,ISODATA)与K均值算法有相似之处,即聚类中心的位置同样是通过样本均值的迭代运算决定。不同的是,这种算法在运算的过程中聚类中心数目不是固定不变的,而是反复进行修改,以得到较合理的类别数K,这种修改通过模式类的合并和分裂来实现,合并和分裂在一组预先选定的参数指导下进行。
egtwcc
- 用于灰色模型预测中的灰色端点三角白化权函数聚类分析(Grey endpoint triangular whitening weight function clustering analysis for grey model prediction)
k聚类算法
- 基于matlab的K聚类分析算法,中心聚类对数据进行分类(Matlab based K clustering analysis algorithm)
fcm-master
- 利用MATLAB软件,实现了模糊聚类的计算,MATLAB的模糊聚类算法,(Using the MATLAB software, the fuzzy clustering calculation and the fuzzy clustering algorithm of MATLAB are realized.)
Matlab聚类分析
- 分别运用分层聚类、K均值聚类以及高斯混合模型来进行分析
k均值聚类
- 通过比较自编MATLAB 的k-means 算法程序和SPSS 中自带的k-means聚类工具,对两个数据集聚类,并分析了聚类结果。(By comparing the k-means algorithm program of self-compiled MATLAB with the K-means clustering tool of SPSS, two data sets are clustered and the clustering results are analyzed.)