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- function [attAffinity] = CalcAttributesAffinity_S3(data, attData, last_known_node, addMissingAtt, threshold)
- n = size(attData,1);
- numAtt = size(attData,2);
-
- if addMissingAtt> 0 && last_known_node < n
- attData = AddMissingNodesAttrFromNeighborsNeighbors(data, attData, last_known_node, addMissingAtt);
- end
-
- count = sum(attData,2);
- nnz_n = nnz(count);
- LogMsg(sprintf('attAffinity count (%d, %.3f) - nnz=%d, %7.5f%%',numAtt,threshold,nnz_n, 100*nnz_n/n));
- % fprintf('calculating attribtes affinity matrix - common start\n');
- common = sparse(attData*attData');
- [r,c] = find(common);
- nnz_n=size(r,1);%x=nnz(attAffinity);
- perc_nnz = nnz_n/(n*n);
- LogMsg(sprintf('attAffinity common (%d, %.3f) - nnz=%d, %7.5f%%',numAtt,threshold,nnz_n,100*perc_nnz));
- % Sigal 22.3.13 - TODO use sparse if x < 40%
- if perc_nnz>0.4
- LogMsg(sprintf('*** WARNING: attAffinity - use sparse for more than 40%% full matrix (n=%d,p=%.3f)',n,perc_nnz));
- end
-
- % attAffinity = sparse(n,n);
- % for i=1:nnz_n
- % val = common(r(i),c(i));
- % total = count(r(i))+count(c(i))-val;
- % % if (c(i)<31 && r(i)<31)
- % % fprintf('(i,j)=(%d,%d): common=%f, total=%f\n',full(r(i))-1,full(c(i))-1,full(val),full(total));
- % % end
- % if total > 0 && val/total > threshold
- % attAffinity(r(i),c(i)) = val/total;
- % end
- % end
- %
- % nnz_n = nnz(attAffinity);
- % LogMsg(sprintf('attAffinity totalM (%d, %.3f) - nnz=%d, %7.5f%%',numAtt,threshold,nnz_n,100*nnz_n/(n*n)));
-
- attAffinity = AttributesSimilarity(common,count,threshold);
- nnz_n = nnz(attAffinity);
- LogMsg(sprintf('attAffinity totalC (%d, %.3f) - nnz=%d, %7.5f%%',numAtt,threshold,nnz_n,100*nnz_n/(n*n)));
-
- % diff = attAffinityC-attAffinity;
- % nnz_n = nnz(diff);
- % LogMsg(sprintf('attAffinity diff (%d, %.3f) - nnz=%d, %7.5f%%',numAtt,threshold,nnz_n,100*nnz_n/(n*n)));
-
- end %function
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