Unsupervised Machine Learning Methods for Feature Extraction
V.V. Vesselinov
New Mexico Big Data & Analytics Summit2019
Summary
This presentation covers unsupervised machine learning methods for feature extraction. It discusses the use of nonnegative matrix and tensor decompositions to identify hidden patterns and extract meaningful features from complex datasets.