Qing Mai

Heterogeneous Sufficient Dimension Reduction and Subspace Clustering

Scientific and engineering applications are often heterogeneous, making it beneficial to account for latent clusters or sub-populations when learning low-dimensional subspaces in supervised learning, and vice versa. In this paper, we combine the concept of subspace clustering with model-based suffic…