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a.rar
- 模糊聚类分析分析的MATLAB实现,并且以图形的方式呈现了模糊聚类分析的结果。,Analysis of fuzzy cluster analysis to achieve the MATLAB and graphical way to show the results of fuzzy cluster analysis.
2-3-1.rar
- 聚类分析 算法的Matlab实现,可以对多参数的数据实现简单方面的分类,从而更好地了解数据结构。,Matlab cluster analysis algorithm to achieve, you can multi-parameter data for the realization of a simple classification, in order to better understand the data structure.
fuzzycluster
- 是关于模糊聚类的c语言程序,效果不错的模,糊聚类分析 模糊聚类 聚类分析 FUZZY 模糊C-MATLAB
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
transfer
- 模糊聚类分析的源代码 ,其中包括矩阵标准化,模糊相似矩阵-Fuzzy Cluster Analysis of the source code
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.
iriscode
- Matlab提供了两种方法进行聚类分析。 一种是利用 clusterdata函数对样本数据进行一次聚类,其缺点为可供用户选择的面较窄,不能更改距离的计算方法; 另一种是分步聚类:(1)找到数据集合中变量两两之间的相似性和非相似性,用pdist函数计算变量之间的距离;(2)用 linkage函数定义变量之间的连接;(3)用 cophenetic函数评价聚类信息;(4)用cluster函数创建聚类。 -Matlab provides two methods of cluster anal
DBSCAN
- 这是一种基于密度的聚类分析算法,可以发现任意形状的簇,可以发现噪声点。-This is a density-based clustering analysis algorithm can find clusters of arbitrary shape can be found noise points.
KMEANS
- 基于MATLAB的kmeans聚类分析,包含数据和源代码,-MATLAB-based kmeans cluster analysis, including data and source code,
matlab模糊聚类算法
- 可以方便地实现聚类分析 实际运用时对主程序矩阵赋值即可
《MATLAB统计分析与应用》程序与数据
- 数据的导入导出,将数据写入到txt,从TXT读取数据;数据预处理,归一化处理;聚类分析,K均值聚类等(Import and export data, write data to TXT, read data from TXT, data preprocessing, normalization processing, clustering analysis, K clustering, etc.)
testDBSCAM_matlab
- matlab实现的DBSCAN聚类分析,通过文件输入数据,不同的颜色代表一类数据(Matlab implementation of DBSCAN clustering analysis, through the document import data, different colors represent a category of data)
谱聚类
- 谱聚类matlab代码,聚类分析可用,内附简单实验及部分参考论文,代码可自行修改,精度可调(Matlab code for spectral clustering , enclosed a simple experiment, which can be modified. Accuracy of sigma is adjustable.)