hddc_demo.m

来自「高维数据分类程序！数据挖掘及图像分析利器！matlab版！」· M 代码 · 共 21 行

% High Dimensionality Data Clustering (demonstration)
%
% Authors: C. Bouveyron <[e-mail]> - 2004-2006
% 
% Reference: C. Bouveyron, S. Girard and C. Schmid, High-Dimensional Data 
% Clustering, Technical Report n°1083M, LMC-IMAG, Université J. Fourier
% Grenoble 1.

fprintf('\n- Loading of data\n')
fprintf('load(''crabs.mat'');\n')
load('crabs.mat'  );
fprintf('\n- Press the keyboard to continue ...\n\n'), pause()

fprintf('- Looking for the model with the smallest BIC value (k=4 groups)\n')
fprintf('[prms,T,cls] = hddc_learn(X,4,''model'',''best'',''seuil'',0.2);\n')
[prms,T,cls] = hddc_learn(X,4,'model','best','seuil',0.2);
fprintf('\n- Press the keyboard to continue ...\n\n'), pause()

fprintf('- Learning parameters of a specific model\n')
fprintf('[prms,T,cls] = hddc_learn(X,4,''model'',''AiBQiDi'',''seuil'',0.2)\n');
[prms,T,cls] = hddc_learn(X,4,'model','AiBQiDi','seuil',0.2);