%0 Conference Paper %1 Alpert95spectralpartitioning: %A Alpert, Charles J. %A Kahng, Andrew B. %A zen Yao, So %B Proc. ACM/IEEE Design Automation Conf %D 1995 %K community detection graph spectral theory %P 195--200 %T Spectral partitioning: The more eigenvectors, the better

@inproceedings{Alpert95spectralpartitioning:, added-at = {2009-03-03T14:10:25.000+0100}, author = {Alpert, Charles J. and Kahng, Andrew B. and zen Yao, So}, biburl = {https://www.bibsonomy.org/bibtex/213da262902e2a4425f7799a519163b99/folke}, booktitle = {Proc. ACM/IEEE Design Automation Conf}, description = {Spectral partitioning: The more eigenvectors, the better - CiteSeerX}, interhash = {8384ccbb6b91c08c6ce73b2bde86bfd9}, intrahash = {13da262902e2a4425f7799a519163b99}, keywords = {community detection graph spectral theory}, pages = {195--200}, timestamp = {2009-03-03T14:10:25.000+0100}, title = {Spectral partitioning: The more eigenvectors, the better}, year = 1995 }