Clustering via adaptive and locality-constrained graph learning and unsupervised ELM

• Main Authors: Zeng, Yijie, Chen, Jichao, Li, Yue, Qing, Yuanyuan, Huang, Guang-Bin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2022
• Subjects: Engineering::Electrical and electronic engineering; Graph Learning; Clustering
• Online Access: https://hdl.handle.net/10356/160969
• Institution: Nanyang Technological University

In this paper an effective graph learning method is proposed for clustering based on adaptive graph regularizations. Many graph learning methods focus on optimizing a global constraint on sparsity, low-rankness or weighted pair-wise distances, but they often fail to consider local connectivities. We...