1 files changed, 33 insertions, 0 deletions
diff --git a/sourcecodes/bnt-master/SLP/examples/test_mwst.m b/sourcecodes/bnt-master/SLP/examples/test_mwst.m
new file mode 100644
index 00000000..2961729a
--- /dev/null
+++ b/sourcecodes/bnt-master/SLP/examples/test_mwst.m
@@ -0,0 +1,33 @@
+% test MWST
+
+clear all;
+
+fprintf('\n=== Structure Learning with Maximum Weight Spanning Tree\n');
+
+bnet=mk_asia2_bnet ;
+
+n=8;
+names={ 'A' , 'S' , 'T' , 'L' , 'B' , 'O' , 'X' , 'D' };
+carre=ones(1,n);
+node_type={'tabular','tabular','tabular','tabular','tabular','tabular','tabular','tabular'};
+
+m=10000;
+bnet=mk_asia2_bnet;
+data = cell(n,m);
+for l = 1:m, data(:,l) = sample_bnet(bnet); end
+data=cell2mat(data);
+fprintf('Complete data have been created.');
+
+tmp=cputime;
+dag=learn_struct_mwst(data, ones(n,1), bnet.node_sizes, node_type,'mutual_info');
+tmp=cputime-tmp;
+fprintf('\t- Execution Time : %3.2f seconds\n\n',tmp);
+
+figure; [xx yy] = make_layout(bnet.dag);
+yy=(yy-0.2)*.8/.6+.1;
+xx=(xx-0.2833)*.8/.517+.1;
+subplot(1,2,1), [xx yy]=draw_graph(bnet.dag,names,carre,xx,yy); %,carre);
+title('ASIA original graph');
+subplot(1,2,2), draw_graph(dag,names,carre,xx,yy); %,carre);
+title('MWST DAG');
+drawnow;