搜索资源列表
K-Means聚类
- k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
模糊C-均值(FCM)聚类算法Matlab实现
- 模糊聚类是一种重要数据分析和建模的无监督方法。简单概述模糊聚类的概念,介绍模糊C-均值(FCM)算法,并在matlab软件上对该算法进行仿真,结果表明,该算法设计简单,应用范围广,但改算法仍存在容易陷入局部极值点等问题,还需进一步研究
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.
clusteranalysis.rar
- 简单且实用的聚类分析软件。在windows系统下安装后即可使用该软件。有较好的图形用户界面。,Simple and useful software for cluster analysis. In the system after the installation of windows to use the software. Better graphical user interface.
kmeans
- kmeans文本聚类算法的简单实现,是用JAVA实现的-kmeans a simple realization of the text clustering algorithm is implemented using JAVA
k-means(java)
- k-means算法是基于划分的聚类方法,本算法简单,便于理解,以可视化界面的形式将结果展示出来。-k-means clustering algorithm is based on the division method, this algorithm is simple and easy to understand visual interface to the form of the results.
K-means
- 简单实用的k均值聚类算法,可以实现多位向量的简单聚类-Simple and practical k-means clustering algorithm, can achieve more than a simple vector clustering
kmeans
- 聚类算法kmeans,比较简单的聚类算法,通过欧几里德距离确定聚类的标准,对二维的点进行聚类-Clustering algorithm kmeans, relatively simple clustering algorithm, through the Euclidean distance to determine the standard clustering of the points of two-dimensional clustering
k_2means
- matlab编写的二聚类算法,程序简单,思路清晰,拿出来和大家一起分享-2-means clustering
julei
- 一个简单的matlab的聚类算法程序,可以供初学者做参考资料。-A simple clustering algorithm matlab program can be used for reference for beginners to do.
Diana
- 经典层次聚类算法DIANA,MATLAB编程,简单易懂,可以运行-Classical hierarchical clustering algorithm DIANA, MATLAB programming, easy to understand, you can run
4_fcm
- 基于模糊的聚类,图像的简单处理,初涉图像处理可以借鉴 -Based on fuzzy clustering, a simple image processing, image processing can learn from kicking the tires
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.)
第4讲之1 聚类分析
- R语言方面的聚类分析简单介绍,适合初学者学习操作(Introduction to R cluster analysis)
聚类算法
- 简单的各种聚类算法,适合初学者学习!!!!(Simple clustering algorithm, suitable for beginners to learn!!!!)
聚类k-means
- 一个非常简单的kmeans算法,主要用于聚类分析,用户仅需要输入聚类数(A very simple kmeans algorithm, mainly for clustering analysis, users only need to enter the number of clusters)
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)
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.)
K-均值聚类
- 简单的机器学习入门编程,Kmeans聚类(Simple machine learning introductory programming, Kmeans clustering)
k-means聚类算法
- K-MEANS聚类算法实现,方法简单,容易实现(K-MEANS clustering algorithm, simple and easy to implement.)