LMNNB: Two-in-One imbalanced classification approach by combining metric learning and ensemble learning

• Published in: Applied intelligence (Dordrecht, Netherlands) Vol. 52; no. 7; pp. 7870 - 7889
• Main Authors: Qiao, Shaojie, Han, Nan, Huang, Faliang, Yue, Kun, Wu, Tao, Yi, Yugen, Mao, Rui, Yuan, Chang-an
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.05.2022; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Classification; Classifiers; Computer Science; Cybernetics; Ensemble learning; Machine learning; Machines; Manufacturing; Mechanical Engineering; Performance enhancement; Processes; Skewed distributions; Imbalanced data; Large margin nearest neighbors; Ensemble learning; Metric learning; Machine learning; Classification

In the real-world applications of machine learning and cybernetics, the data with imbalanced distribution of classes or skewed class proportions is very pervasive. When dealing with imbalanced data, traditional classification approaches might fail to learn a good classifier. In the phase of learning...