Papers › Spectral partitioning of graphs into compact, connected regions
Spectral partitioning of graphs into compact, connected regions
Ewan Davies, Ryan Job, Maxine Kampbell, Hannah Kim, Hyojin Seo
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We define and study a spectral recombination algorithm, SpecReCom, for partitioning a graph into a given number of connected parts. It is straightforward to introduce additional constraints such as the requirement that the weight (or number of vertices) in each part is approximately balanced, and we exemplify this by stating a variant, BalSpecReCom, of the SpecReCom algorithm. We provide empirical evidence that the algorithm achieves more compact partitions than alternatives such as RevReCom by studying a 56×56 grid graph and a planar graph obtained from the state of Colorado.
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