An active learning-based SVM multi-class classification model

Husheng Guo, Wenjian Wang

Abstract: Highlights•The proposed MC_SVMA model is a deep fusion of active learning and multi-classification.•The MC_SVMA model can mine categories from given unlabeled samples quickly with much less labeling cost.•Those difficult distinguished unlabeled samples can be classified and new categories may be found.•The MC_SVMA model can obtain fast learning and good performance for unlabeled multiple classification problems.