A Combinatorial View of Graph Laplacians

Huang, J

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A Combinatorial View of Graph Laplacians

Huang, J.(2005). A Combinatorial View of Graph Laplacians (144). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0013-D499-0 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-8809-B

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Huang, J^{1, 2}, Author

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1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794

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Abstract: Discussions about different graph Laplacian, mainly normalized and unnormalized versions of graph Laplacian, have been ardent with
respect to various methods in clustering and graph based
semi-supervised learning. Previous research on graph Laplacians
investigated their convergence properties to Laplacian operators
on continuous manifolds. There is still no strong proof on
convergence for the normalized Laplacian. In this paper, we
analyze different variants of graph Laplacians directly from the
ways solving the original graph partitioning problem. The graph
partitioning problem is a well-known combinatorial NP hard
optimization problem. The spectral solutions provide evidence that
normalized Laplacian encodes more reasonable considerations for
graph partitioning. We also provide some examples to show their
differences.

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Dates: Published in Print: 2005-08

Publication Status: Published in print

Pages: 9

Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics

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Identifiers: Report Nr.: 144
BibTex Citekey: 3534

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Title: Technical Report of the Max Planck Institute for Biological Cybernetics

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Pages: - Volume / Issue: 144 Sequence Number: - Start / End Page: - Identifier: -