Hermitian matrices for clustering directed graphs: insights and applications
<p style="text-align:justify;"> Graph clustering is a basic technique in data mining, and has widespread applications in different domains. While spectral techniques have been successfully applied for clustering undirected graphs, the performance of spectral clustering algorithms fo...
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| Formato: | Working paper |
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2019
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