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基于matlab的K均值聚类程序
- 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图,Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan
kMedoids.rar k-中心聚类算法的matlab实现
- k-中心聚类算法的matlab实现。直接读取文档数据，没有维限制。,k-Medoids clustering algorithm matlab implementation. Document data read directly, there is no dimension restrictions.
模式识别-模糊聚类算法--传递闭包法
- 模式识别-模糊聚类算法--传递闭包法，追踪法-matlab程序,Pattern Recognition- Fuzzy Clustering Algorithm- transitive closure procedures for law-matlab
[matlab]
- 模糊核聚类算法的几篇论文及matlab源码，可以以练代学，更好掌握模糊聚类方法。-Fuzzy Kernel Clustering Algorithm matlab several papers and source code, can be practicing on behalf of science, to better grasp the fuzzy clustering method.
FuzzyCM
- 一个包含多个matlab文件的工具包，利用它可以方便使用模糊c均值聚类-Matlab file contains more than one kit, using it can easily use the fuzzy c means clustering
用matlab实现谱聚类算法
- 用于数据挖掘学习，matlab实现机器学习领域的谱聚类算法。提供详细的代码。
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
聚类程序
- 几种聚类的程序，适合初学者，对目标空间中的点进行分类，效果很好(Several clustering procedures, suitable for beginners)
模糊C均值聚类（FCM）
- 模糊C均值聚类，matlab程序，简单易懂，程序可以运行。(Fuzzy C means clustering, Matlab code, easy to understand, the program can run.)
聚类分析
- 该程序为聚类分析Matlab程序，简单好用，谢支持(The program for the cluster analysis Matlab procedures, simple and easy to use, thanks to support)
1.聚类分析
- 本程序可对繁琐的变量进行聚类，有利于后续分析，是对变量进行聚类的程序(You can use cluster analysis the task of grouping a set of objects in such a way that objects in the same group are more similar to each other than to those in other groups .)
凝聚层次聚类的matlab代码
- 聚类，就是单纯的聚类算法，别的我也不知道啊(I CAN NOT SPERK ENGLISH)
聚类分析
- 基于matlab平台下，可实现聚类分析功能。（直接实测代码）(Based on the MATLAB platform, clustering analysis function can be realized. (direct measured code))
层次聚类代码
- matlab实现层次聚类法，不是用库函数实现的，而是一步步根据算法原理完成的(Matlab hierarchical clustering method, not achieved by library functions, but a step by step according to the principles of the algorithm)
最优聚类数
- 运用matlab软件可实现矩阵的最优聚类数的计算(Using matlab software can realize the matrix calculation of the optimal number of clusters)
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.)
聚类分析
- 结合具体案例介绍了聚类分析的matlab具体实现，包括系统聚类，k聚类(The matlab implementation of cluster analysis is introduced in detail)
matlab实现Kmeans聚类算法
- matlab实现Kmeans聚类算法，非常详细。(The algorithm is designed to test the MATLAB clustering algorithm and is very useful.)
AP聚类Matlab程序
- AP聚类算法，亲测可用，可以很快分别不同类别(AP clustering algorithm, pro-test available, can quickly separate different categories)
聚类神经网络
- 聚类 神经网络例程，提供数据样本，且说明清晰(Clustering neural network routine)