1 code implementation • 18 Dec 2020 • Rungang Han, Yuetian Luo, Miaoyan Wang, Anru R. Zhang
High-order clustering aims to identify heterogeneous substructures in multiway datasets that arise commonly in neuroimaging, genomics, social network studies, etc.
no code implementations • 26 Feb 2020 • Rungang Han, Rebecca Willett, Anru R. Zhang
Under mild conditions on the loss function, we establish both an upper bound on statistical error and the linear rate of computational convergence through a general deterministic analysis.
no code implementations • 6 Sep 2018 • Anru Zhang, Rungang Han
In this article, we consider the sparse tensor singular value decomposition, which aims for dimension reduction on high-dimensional high-order data with certain sparsity structure.