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Very interesting work! Given that spectral clustering methods use the eigenvectors for the smallest K eigenvalues when clustering graphs, I'm wondering if it's possible to compute only the smallest K eigenvectors using this method, as in scipy.sparse.linalg.svds when which='SM' ?
Thanks
Andrew
The text was updated successfully, but these errors were encountered:
Hi,
Very interesting work! Given that spectral clustering methods use the eigenvectors for the smallest K eigenvalues when clustering graphs, I'm wondering if it's possible to compute only the smallest K eigenvectors using this method, as in
scipy.sparse.linalg.svds
whenwhich='SM'
?Thanks
Andrew
The text was updated successfully, but these errors were encountered: