Manifold regularized stochastic block model

• Main Authors: He, Tiantian, Bai, Lu, Ong, Yew-Soon
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• 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
• Institution: Nanyang Technological University

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...