Description:
使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloadable related documentation one can find a theoretical introduction containing the theory of the algorithms, the definition of the validity measures and the tools of visualization, which help to understand the programmed MATLAB files.
Chapter 2 deals with the exposition of the
files and the description of the particular algorithms, and they are illustrated with simple examples, while in Chapter 3 the whole
Toolbox is tested on real data sets during the solution of three clustering problems: comparison and selection of algorithms estimating the optimal number of clusters and examining
multidimensional data sets.
About the Toolbox
The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Cluste Platform: |
Size: 2143232 |
Author:JinJun |
Hits:
Description: 欢迎使用和评述此工具箱，您的意见是对我们工作的支持。
此工具适合于不同有效性指标的性能比较，改进代码用于不同的应用问题等等。
(1) NCT的内容
NCT包括4个外部有效性指标和8种内部有效性指标，编制的程序文件"validity_Index.m"用于调用它们
(2) 主文件 "mainClusterValidationNC.m" 的内容
主文件设计为如何使用PAM聚类算法、如何使用有效性指标和方法来估计聚类个数。(Help file of Toolbox for estimating the number of clusters (NCT)
(Version 2.0)
Your comments are welcome at:
http://www.mathworks.com/matlabcentral/fileexchange/13916
E-mail: wangkjun@yahoo.com
(1) Contents of NCT
The NCT includes 4 External validity indices and 8 internal validity indices, and the sub-routine "validity_Index.m" is designed to use them.
This tool is suitable for the research work such as the performance comparison of different indices on estimation of the number of clusters, algorithm design by improving part codes of this toolbox.
(2) Contents of main file "mainClusterValidationNC.m"
It is designed to use validity indices to estimate the number of clusters (NC) for PAM and K-means clustering algorithms.) Platform: |
Size: 37888 |
Author:CCGC
|
Hits:
Search - Estimating Clusters