On the usefulness of one-class classifier ensembles for decomposition of multi-class problems
作者：
Highlights：
• A novel approach for tackling multi-class problems with ensemble of one-class classifiers.
• A thorough analysis on areas of applicability of one-class decomposition.
• Identification of problems, for which one-class decomposition is superior to binarization.
• Examination of correlations between the used fusion technique and decomposition scheme.
• An exhaustive experimental study that gives a detailed outlook on the quality of investigated methods.
摘要
Highlights•A novel approach for tackling multi-class problems with ensemble of one-class classifiers.•A thorough analysis on areas of applicability of one-class decomposition.•Identification of problems, for which one-class decomposition is superior to binarization.•Examination of correlations between the used fusion technique and decomposition scheme.•An exhaustive experimental study that gives a detailed outlook on the quality of investigated methods.
论文关键词：One-class classification,Multi-class classification,Classifier ensemble,Decomposition strategies,Classifier fusion,Binary classification
论文评审过程：Received 12 January 2014, Revised 24 April 2015, Accepted 7 June 2015, Available online 19 June 2015, Version of Record 19 August 2015.
论文官网地址：https://doi.org/10.1016/j.patcog.2015.06.001
