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%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
}