Novel Machine Learning Methods for Extraction of Features Characterizing Complex Datasets and Models
V.V. Vesselinov
Recent Advances in Machine Learning and Computational Methods for Geoscience, Institute for Mathematics and its Applications, University of Minnesota2018DOI 10.13140/RG.2.2.16024.03848
Summary
This presentation covers unsupervised machine learning methods for extraction of features characterizing complex datasets and models. It discusses why unsupervised machine learning (ML) is important and how it can be applied to identify hidden patterns and extract meaningful features.