% High Dimensionality Data Clustering (demonstration)%% Authors: C. Bouveyron <charles.bouveyron@inrialpes.fr> - 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);