Noise-aware clustering based on maximum correntropy criterion and adaptive graph regularization

• Published in: Information sciences Vol. 626; pp. 42 - 59
• Main Authors: Li, Xinyu, Fan, Hui, Liu, Jinglei
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.05.2023
• Subjects: Adaptive graph regularization; Half-quadratic optimization; Maximum correntropy criterion; Noise-aware clustering; Similarity graph; Maximum correntropy criterion; Half-quadratic optimization; Similarity graph; Noise-aware clustering; Adaptive graph regularization

Graph-based clustering is a basic subject in the field of machine learning, but most of them still have the following deficiencies. First, similarity graph construction and data division into corresponding classes are always divided into two independent steps. Second, noise contained in real data ma...