Unsupervised Machine Learning based on Nonnegative Matrix/Tensor Factorization
V.V. Vesselinov, M. Mudunuru, S. Karra, D. O'Malley, B. Alexandrov
World Congress on Computational Mechanics (WCCM) (invited)2018
Summary
This presentation covers unsupervised machine learning methods for nonnegative matrix and tensor decompositions. It discusses the use of these methods to identify hidden patterns and extract meaningful features from complex datasets.