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stat.ML2020★ 1 cited
An improved spectral clustering method for community detection under the degree-corrected stochastic blockmodel
Huan Qing, Jingli Wang
For community detection problem, spectral clustering is a widely used method for detecting clusters in networks. In this paper, we propose an improved spectral clustering (ISC) app…
stat.ML2020★ 1 cited
Community Detection by Principal Components Clustering Methods
Huan Qing, Jingli Wang
Based on the classical Degree Corrected Stochastic Blockmodel (DCSBM) model for network community detection problem, we propose two novel approaches: principal component clustering…
stat.ML2020★ 2 cited
Dual regularized Laplacian spectral clustering methods on community detection
Huan Qing, Jingli Wang
Spectral clustering methods are widely used for detecting clusters in networks for community detection, while a small change on the graph Laplacian matrix could bring a dramatic im…