Using binary classifiers for one-class classification
作者：
Highlights：
• A binary classifier ensemble-based one-class classifier is proposed.
• The training set of the target class is partitioned into several clusters.
• Multiple binary classifiers are built on the clusters in a one-against-rest fashion.
• Any supervised classification algorithm can be used for the binary classifiers.
• A one-class classifier is constructed by combining the binary classifiers.
摘要
•A binary classifier ensemble-based one-class classifier is proposed.•The training set of the target class is partitioned into several clusters.•Multiple binary classifiers are built on the clusters in a one-against-rest fashion.•Any supervised classification algorithm can be used for the binary classifiers.•A one-class classifier is constructed by combining the binary classifiers.
论文关键词：One-class classification,One-class classifier,Binary classifier,Ensemble learning,One-against-rest
论文评审过程：Received 18 December 2020, Revised 9 June 2021, Accepted 14 September 2021, Available online 27 September 2021, Version of Record 27 September 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2021.115920
