data_split_classes
PURPOSE 
pieces = data_split_classes(data)
SYNOPSIS 
function out = data_split_classes(data, hierarchy)
DESCRIPTION 
CROSS-REFERENCE INFORMATION 
This function calls:
This function is called by:
- calculate_scatters [S_B, S_W] = calculate_scatters(data, flag_modified_s_b = 0, penalty=0)
- class_loadings Produces class loadings as in JCB2007.PDF
- data_2classes_ttest
- data_get_cv Calculated the 'cluster vectors'
- data_plot htemp = plot(data.x, data.X');
- data_plot_means
- data_plot_scatter_1d plot_scatter_1d(data, idx_fea, flag_distr=1)
- data_plot_scatter_2d data_plot_scatter_2d(data, idx_fea, confidences = [], flag_text=0)
- data_plot_scatter_3d function varargout = data_plot_scatter_3d(data, idx_fea, confidences=[], flag_text=0)
- data_plot_scatter_3d2 function varargout = data_plot_scatter_3d(data, idx_fea, confidences)
- data_select_features_paired_ttest function data_select_features_paired_ttest(data, idx_reference=1)
- dist_train function model = dist_train(model, data)
- draw_projections draw_projections(data, v)
- interactive_feasel_for_biomarkers
- interactive_feasel_for_biomarkers_bm3 This one is maintained so it can read some result file I have saved.
- interactive_feasel_for_biomarkers_old
- modelset_boot function a = modelset_boot(a, data)
- modelset_create_models function a = modelset_boot(a, data)
- modelset_train function a = modelset_train(a, data)
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