You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
The paper mentions that the first k non-zero eigenvalues of the laplacian are used for Phi(k). However, in the code, I don't see filtering the zero-eigenvalues out by setting a low threshold of 1e-6 for example. Phi(1) contains the lowest non-zero eigenvalue and Phi(k) contains the lowest K non-zero eigenvalues, right, according to the Figure 1? Here
In that case, why aren't the eigenvalues with low mangitude, eigenvalue < e-6, filtered out in get_k_lowest_eig? Here. To get the lowest k non-zero eigenvalues. If the eigenvalue is less than 1e-6 they could be considered as the zero eigenvalues and hence filtered out?
Would be great if you could share your thoughts on this
The text was updated successfully, but these errors were encountered:
The paper mentions that the first k non-zero eigenvalues of the laplacian are used for Phi(k). However, in the code, I don't see filtering the zero-eigenvalues out by setting a low threshold of 1e-6 for example. Phi(1) contains the lowest non-zero eigenvalue and Phi(k) contains the lowest K non-zero eigenvalues, right, according to the Figure 1? Here
In that case, why aren't the eigenvalues with low mangitude, eigenvalue < e-6, filtered out in
get_k_lowest_eig
? Here. To get the lowest k non-zero eigenvalues. If the eigenvalue is less than 1e-6 they could be considered as the zero eigenvalues and hence filtered out?Would be great if you could share your thoughts on this
The text was updated successfully, but these errors were encountered: