搜索资源列表
fcm
- 一个关于FUZZY kmeans算法的matlab源程序 有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
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
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
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 samples will eventually fall into
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
CollectAnaly.m
- 很有用的Matlab聚类分析算法，很全面，保证可用-Matlab is used for cluster analysis algorithms, a very comprehensive and ensure that available
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.
kmeans
- 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis.
1
- 利用Matlab和SPSS软件实现聚类分析.运用Matlab中的一些基本矩阵计算方法，通过自己编程实现聚类算法-Matlab and SPSS software using cluster analysis. The use of Matlab, some of the fundamental matrix method, clustering algorithms, through their own programming
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
mhsx
- 基于欧几里得距离的聚类分析算法程序，只需要用户输入矩阵即可完成-Euclidean distance-based clustering analysis algorithm procedure, but requires the user to complete input matrix
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
聚类算法
- 基于谱聚类和Kmeans算法的聚类分析，有效地将图像进行分块聚类MATLAB代码
《现代模式识别》孙即祥习题答案2 3 4
- 通过最大最小距离算法来对聚类分析进行了仿真(Clustering analysis based on maximum and minimum distance)
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)
基于FCM聚类分析的交通判别算法研究
- 采用了欧氏距离和模糊算法两种方式进行了FCM聚类分析，利用FCM聚类分析解决了交通状况的判别算法，文件里面还有相关文献！(Using Euclidean distance and fuzzy algorithm, FCM clustering analysis is used to solve the traffic situation.)
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.)
kmeans聚类算法
- kmeans聚类分析，无监督学习实现Matlab代码(Kmeans clustering analysis, unsupervised learning implementation of MATLAB code)