Multi-view Outlier Detection via Graphs Denoising

Boao Hu, Xu Wang, Peng Zhou, Liang Du

Abstract: Highlights•A novel unsupervised multi-view outlier detection method is proposed.•It can explicitly extract the structured outliers on multiple graphs.•The experiments demonstrates the effectiveness and superiority of the proposed method.