文件名称:clustering-index
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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.)
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.)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
clustering-index
clustering-index\daisy.m
clustering-index\daisyc.dll
clustering-index\ind2cluster.m
clustering-index\leuk72_3k.txt
clustering-index\license.txt
clustering-index\mainClusterValidationNC.m
clustering-index\Notice_contributedFiles.txt
clustering-index\pam.m
clustering-index\pamc.dll
clustering-index\ReadmeChinese.txt
clustering-index\ReadmeEnglish.txt
clustering-index\similarity_euclid.m
clustering-index\similarity_pearson.m
clustering-index\similarity_pearsonC.m
clustering-index\standarz.m
clustering-index\validity_Index.m
clustering-index\valid_clusterIndex.m
clustering-index\valid_errorate.m
clustering-index\valid_findk.m
clustering-index\valid_index_plot.m
clustering-index\valid_internal_deviation.m
clustering-index\valid_internal_intra.m
clustering-index\valid_intrainter.m
clustering-index\valid_RandIndex.m
clustering-index\valid_sumpearson.m
clustering-index\valid_sumsqures.m
clustering-index\xlim2.m
clustering-index\daisy.m
clustering-index\daisyc.dll
clustering-index\ind2cluster.m
clustering-index\leuk72_3k.txt
clustering-index\license.txt
clustering-index\mainClusterValidationNC.m
clustering-index\Notice_contributedFiles.txt
clustering-index\pam.m
clustering-index\pamc.dll
clustering-index\ReadmeChinese.txt
clustering-index\ReadmeEnglish.txt
clustering-index\similarity_euclid.m
clustering-index\similarity_pearson.m
clustering-index\similarity_pearsonC.m
clustering-index\standarz.m
clustering-index\validity_Index.m
clustering-index\valid_clusterIndex.m
clustering-index\valid_errorate.m
clustering-index\valid_findk.m
clustering-index\valid_index_plot.m
clustering-index\valid_internal_deviation.m
clustering-index\valid_internal_intra.m
clustering-index\valid_intrainter.m
clustering-index\valid_RandIndex.m
clustering-index\valid_sumpearson.m
clustering-index\valid_sumsqures.m
clustering-index\xlim2.m