259 citations · 1.2k across the 51 of their papers we have counts for
3 papers · 1 filter
Randomized Nonnegative Matrix Factorization
N. Benjamin Erichson, Ariana Mendible, Sophie Wihlborn +1
Nonnegative matrix factorization (NMF) is a powerful tool for data mining. However, the emergence of `big data' has severely challenged our ability to compute this fundamental deco…
Randomized CP Tensor Decomposition
N. Benjamin Erichson, Krithika Manohar, Steven L. Brunton +1
The CANDECOMP/PARAFAC (CP) tensor decomposition is a popular dimensionality-reduction method for multiway data. Dimensionality reduction is often sought after since many high-dimen…
Randomized Dynamic Mode Decomposition
N. Benjamin Erichson, Lionel Mathelin, Steven L. Brunton +1
This paper presents a randomized algorithm for computing the near-optimal low-rank dynamic mode decomposition (DMD). Randomized algorithms are emerging techniques to compute low-ra…