Multi-view representation learning for data stream clustering

Jie Chen, Shengxiang Yang, Zhu Wang

Abstract: Highlights•The MVRL method learns a fused sparse affinity matrix across multiple views.•The MVRL method captures the global and local structures of data objects.•The complementary information is explored by exploiting affinity matrices.•The upper bound of computational cost is determined by closed-form solutions.•The dynamic set transfers previously learned knowledge to the arrival data objects.