function xyOut = solver(a, xyIn, wts)
rand('seed',2) % Make xyIn cases independent. Currently optimizing as a whole set
N=length(wts);
X=logical(speye(N));
D=inf(N);
D(X)=0;
for n=1:22,
X=((a*X)>0)&(D>n);
% if ~any(X(:)),break;end % Howe's
D(X)=n;
end
mD=mean(D);
E=bsxfun(@minus,bsxfun(@minus,D,mD)',mD)'+mean(mD);
[xyOut0,nill]=svd(E);
xyOut0=xyOut0(:,1:2);
xyOut = xyOut0;
for ncut=1:2
M=a+eye(N);
Mbeta=(0.9*eye(N)+0.1*bsxfun(@rdivide,M,sum(M,2)))^10;
for n1=1:120
xyOut=Mbeta*xyOut;
[c1,d1,c2]=svd(cov(xyOut,1));
xyOut=(bsxfun(@minus,xyOut,mean(xyOut)))*c1*diag(1./sqrt(.1+diag(d1)))*c2'; %sqrtm(pinv(.1*eye(2)+cxyOut));
end
[i,j]=find(a>0.009);
dd=sum((xyOut(i,:)-xyOut(j,:)).^2,2);
k=find(dd>4*mean(dd));
if isempty(k), break; end
a(i(k)+N*(j(k)-1))=0.009;
end
xyOut0=sqrt(N)*detrend(xyOut,'constant')*diag(1./max(eps,std(xyOut,1,1)));
k=5;
[sxyOut0,idxequal]=sortrows(round(15*xyOut0)/15);
idxequal=idxequal(all(~diff(sxyOut0,1,1),2));
xyOut=round(xyOut0);
while size(unique(xyOut,'rows'),1)~=N
k=k*1.1;
xyOut=xyOut0*k;
xyOut(idxequal,:)=(xyOut0(idxequal,:)+randn(numel(idxequal),2)/10)*k;
xyOut=round(xyOut);
end
if N<35 % small map knot lines
xyOut=3*xyOut+randi([-1,1],N,2);
end
xyOut = bsxfun(@minus,xyOut,round(wts*(xyOut-xyIn)./sum(wts))); % AV's
end
|