parent
d45c8c4eab
commit
3cb6bfe094
52
main.m
52
main.m
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@ -37,15 +37,6 @@ for clusterI=1:clusterN-1
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end
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end
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d=data(:,J);
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d=data(:,J);
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%ѰÕÒ×î¶Ì¾àÀë
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%ѰÕÒ×î¶Ì¾àÀë
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minD=1e20;
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% for D=1:length(SetS)%between j and the closest object in S.
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% % distance=sum((d-data(:,SetS(D))).^2).^.5;
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% distance=metricFun( d,data(:,SetS(D)) );
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% if distance<minD
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% minD=distance;
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% end
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% end
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matDistance=repmat(d,1,length(SetS));
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matDistance=repmat(d,1,length(SetS));
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minD=matDistance-data(:,SetS);
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minD=matDistance-data(:,SetS);
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minD=diag(minD'*minD);
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minD=diag(minD'*minD);
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@ -82,40 +73,13 @@ while 1
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if J==cadSetS(I)
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if J==cadSetS(I)
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continue
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continue
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end
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end
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minD=1e20;
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matDistance=repmat(d,1,length(SetS));
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min2D=minD;
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minD=matDistance-data(:,SetS);
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minD=diag(minD'*minD).^.5;
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for G=1:length(SetS)%between j and the closest object in S.
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minD_t=min(minD);
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% distance=sum((d-data(:,SetS(G))).^2).^.5;
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minD(minD==minD_t)=1e20;
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distance=metricFun( d,data(:,SetS(G)) );
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min2D=min(minD);
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if distance<minD
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minD=minD_t;
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min2D=minD;
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minD=distance;
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else
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if distance<min2D
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min2D=distance;
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end
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end
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end
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smatDistance=repmat(d,1,length(SetS));
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sminD=smatDistance-data(:,SetS);
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sminD=diag(sminD'*sminD).^.5;
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tsminD=sminD;
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sminD_t=min(sminD);
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sminD(sminD==sminD_t)=1e20;
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smin2D=min(sminD);
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sminD=sminD_t;
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if abs(sminD-minD)>1e-5 || abs(smin2D-min2D)>1e-5
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fdf=0;
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end
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% minD=sminD;
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% minD
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% sminD
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% min2D=smin2D;
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% distanceIJ=sum((d-data(:,cadUSetS(H))).^2).^.5;%S(I)ÒѾµÈÓÚU(H)
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% distanceIJ=sum((d-data(:,cadUSetS(H))).^2).^.5;%S(I)ÒѾµÈÓÚU(H)
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distanceIJ=metricFun( d,data(:,cadUSetS(H)) );
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distanceIJ=metricFun( d,data(:,cadUSetS(H)) );
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% distanceHJ=sum((d-data(:,cadSetS(I))).^2).^.5;
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% distanceHJ=sum((d-data(:,cadSetS(I))).^2).^.5;
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@ -125,7 +89,7 @@ while 1
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end
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end
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if abs(distanceIJ-minD)<1e-5
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if abs(distanceIJ-minD)<1e-5
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Kjih=min([distanceHJ,min2D])-minD;
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Kjih=min([distanceHJ,min2D])-minD;
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elseif distanceIJ<sminD
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elseif distanceIJ<minD
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fprintf('Input must be a string\n')
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fprintf('Input must be a string\n')
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end
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end
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