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

• المؤلفون الرئيسيون: Zeng, Yijie, Chen, Jichao, Li, Yue, Qing, Yuanyuan, Huang, Guang-Bin
• مؤلفون آخرون: School of Electrical and Electronic Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2022
• الموضوعات: Engineering::Electrical and electronic engineering; Graph Learning; Clustering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/160969

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...