Motif-based spectral clustering of weighted directed networks
Clustering is an essential technique for network analysis, with applications in a diverse range of fields. Although spectral clustering is a popular and effective method, it fails to consider higher-order structure and can perform poorly on directed networks. One approach is to capture and cluster h...
المؤلفون الرئيسيون: | Underwood, WG, Elliott, A, Cucuringu, M |
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التنسيق: | Journal article |
اللغة: | English |
منشور في: |
SpringerOpen
2020
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مواد مشابهة
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Motif-based spectral clustering of weighted directed networks
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Simple and scalable constrained clustering: a generalized spectral method
حسب: Cucuringu, M
منشور في: (2016) -
Hermitian matrices for clustering directed graphs: insights and applications
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Core-periphery structure in directed networks
حسب: Elliott, A, وآخرون
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