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.

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

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