%clearall
%xa1=randn(2,100);
%xa2=randn(2,100)+2;
%xa3=xa1;
%xa3(2,:)=xa3(2,:)+4;
%X=[xa1xa2xa3];
X=[Data(:,1:2)’];
%Y=[ones(1,100)2ones(1,100)3ones(1,100)];
Y=Data(:,3)’;
net=newsom(X,[13],’gridtop’,’linkdist’);
net=train(net,X);
plot(X(1,:),X(2,:),’.’);
figure
%plotsom(net.iw{1,1},net.layers{1}.distances);
holdon
d=dist(X’,net.iw{1}’);
[a,b]=min(d,[],2);
gscatter(X(1,:),X(2,:),b);

e=er(Y,b);
[nm]=size(Data);
w=zeros(2,3);
x=zeros(1,3);
fori=1:n
if(b(i)==1)
w(1,1)=w(1,1)+X(1,i);
w(2,1)=w(2,1)+X(2,i);
x(1)=x(1)+1;
elseif(b(i)==2)
w(1,2)=w(1,2)+X(1,i);
w(2,2)=w(2,2)+X(2,i);
x(2)=x(2)+1;
elseif(b(i)==3)
w(1,3)=w(1,3)+X(1,i);
w(2,3)=w(2,3)+X(2,i);
x(3)=x(3)+1;
end
end
w(:,1)=w(:,1)/x(1);
w(:,2)=w(:,2)/x(2);
w(:,3)=w(:,3)/x(3);
plot(w(1,:),w(2,:),’.’)
%out=net.iw{1};
%
%[outinx]=sort(out,1,’ascend’);
%figure
%plotsom(out,net.layers{1}.distances);


functionout=er(in1,in2)
in1=in1’;
[nm]=size(in1);
err=zeros(n,m);
fori=1:n
if(in1(i)~=in2(i))
err(i)=1;
end
end
out=sum(err)/n100;