comparison phase2/treeLinkFeatures.m @ 24:8613ec5ab369

include output with decision tree output

 linkList = aglomCluster(data);
 linkList = depthCheck(linkList);
 listSize = size(data,1);
 
 % linkList(:,4) = 0;
-featureList = cell(listSize-1,2);
+featureList = cell(listSize-1,3);
 currentRow = [2*listSize-1];
 
 %%
 while (~isempty(currentRow))
     if(currentRow(1) > listSize)

 %         rD = linkList(row,4);
         if(linkList(row,4) < depthThresh)
             classList = traceLinkageToBinary(linkList, row);
             featureList{row,1} = rfFeatureSelection(data(classList>0,:), classList(classList>0));
             featureList{row,2} = linkList(row,4);
+            featureList{row,3} = fitctree(data(classList>0,featureList{row,1}),classList(classList>0),'PredictorNames',featureNames(featureList{row,1}));
         end
         currentRow = [currentRow; linkList(row,1); linkList(row,2)];
     end
     currentRow = currentRow(2:end);
 end