Title
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering
Abstract
•The multiclass imbalanced learning was comprehensively studied.•The proposed algorithm combines the OVO decomposition and spectral clustering.•Comparisons with several state-of-the-art methods were conducted.
Year
DOI
Venue
2020
10.1016/j.eswa.2019.113152
Expert Systems with Applications
Keywords
Field
DocType
Imbalanced learning,Multiclass classification,One-versus-one decomposition,Spectral clustering
Spectral clustering,Oversampling,Computer science,Outlier,Data pre-processing,Linear subspace,Artificial intelligence,Sampling (statistics),Machine learning,Binary number,Multiclass classification
Journal
Volume
ISSN
Citations 
147
0957-4174
1
PageRank 
References 
Authors
0.35
0
4
Name
Order
Citations
PageRank
Li Qian-Mu13314.78
Yanjun Song210.35
Jing Zhang3225.41
Victor S. Sheng4205.76