Manifold regularized stochastic block model

Manifold regularized stochastic block model

Stochastic block models (SBMs) play essential roles in network analysis, especially in those related to unsupervised learning (clustering). Many SBM-based approaches have been proposed to uncover network clusters, by means of maximizing the block-wise posterior probability that generates edges bridg...

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Bibliographic Details
Main Authors: He, Tiantian, Bai, Lu, Ong, Yew-Soon
Other Authors: School of Computer Science and Engineering
Format: Conference Paper
Language:English
Published: 2021
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Pattern Clustering
Probability
Online Access:https://hdl.handle.net/10356/147803

Internet

https://hdl.handle.net/10356/147803

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