A biclustering approach for classification with mislabeled data

作者：

Highlights：

• We propose a biclustering approach (BicNoise) for coping with mislabeled data.

• We assess three variants of BicNoise on binary classification problems.

• The proposed strategy is mostly useful when high levels of noise take place.

摘要

•We propose a biclustering approach (BicNoise) for coping with mislabeled data.•We assess three variants of BicNoise on binary classification problems.•The proposed strategy is mostly useful when high levels of noise take place.

论文关键词：Classification,Noisy labels,Biclustering,Feature learning

论文评审过程：Available online 6 March 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.045