An improved Nyström spectral graph clustering using k-core decomposition as a sampling strategy for large networks

Clustering on graphs (networks) is becoming intractable due to increasing sizes. Nyström spectral graph clustering (NSC) is a popular method to circumvent the problem. However, NSC currently faces two issues: (1) how to efficiently obtain representative samples for large networks; (2) the NSC is irr...

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Bibliographic Details
Main Authors: Jingzhi Tu, Gang Mei, Francesco Piccialli
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1319157822001379