Hermitian matrices for clustering directed graphs: insights and applications

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...

書誌詳細
第一著者:	Cucuringu, M
フォーマット:	Working paper
出版事項:	2019

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