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

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

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...

Full description

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

Similar Items

Similar Items