no stupid eigenvector

src/MATLAB/+Cluster/SpectralCluster.m

@@ -62,8 +62,12 @@ end
 L=D^(-.5)*A*D^(-.5);
 L=Cluster.Regularize(L); % remove the miniscule asymmetry from L
 
-[X,D] = eigs(L,k);
-
+% controversy! eigs returns the stupid eigenvector (eigenvalue = 1), nearly
+% same value at all points. This vector not helpful for our embedding, we
+% use the remaining largest magnitude k eigenvectors instead
+% [X,D] = eigs(L,k);
+[X,D] = eig(L);
+X = X(:,1:k);
 if 1 == k
     Y = X ./ max(X);
 else