As the other guy said, you can't 'see' 12 dimensions. However, you may be able to use PCA to deal with that (check PCA in wikipedia). Assuming that the data variable is called Data:
[c, s] = princomp(Data);
plot(s(:,1), s(:,2),'.');
The rows in s are related to the rows in Data, so you can plot using different symbols for different clusters. For instance:
U=kmeans(Data,2);
[c, s] = princomp(Data);
plot (s(U==1,1), s(U==1,2), 'x');
hold on;
plot (s(U==2,1), s(U==2,2), '*');