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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
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)
第六章 聚类分析
- 聚类分析指将物理或抽象对象的集合分组为由类似的对象组成的多个类的分析过程。它是一种重要的人类行为。聚类分析的目标就是在相似的基础上收集数据来分类(Clustering analysis refers to the grouping of physical or abstract objects into groups that are composed of similar objects. It is an important human behavior. The goal of clust
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.)
基于遗传模拟退货的聚类算法
- 基于遗传算法和模拟退火的模糊均值聚类算法(Fuzzy mean clustering)
FCM聚类算法介绍
- FCM算法是一种基于划分的聚类算法，它的思想就是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。(FCM algorithm is a kind of clustering algorithm based on division. Its idea is to make the objects that are divided into the same cluster have the highest similarity, and the similarity among
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)
聚类分析程序
- 聚类分析程序 包括系统聚类 样品系统聚类 变量系统聚类 K均值聚类 模糊C均值聚类(Cluster analysis program)
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)
K-means聚类
- K-means聚类程序，可用于聚类问题，自动产生大量数据，生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)
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)