Discovering hidden geothermal signatures using non-negative matrix factorization with customized k-means clustering

Saved in:
Bibliographic Details
Published in:Geothermics 2022-12, Vol.106, p.102576, Article 102576
Main Authors: Vesselinov, V.V., Ahmmed, B., Mudunuru, M.K., Pepin, J.D., Burns, E.R., Siler, D.L., Karra, S., Middleton, R.S.
Format: Article
Language:English
Subjects:
Custom k-means clustering
Feature extraction
GEOTHERMAL ENERGY
Hidden geothermal resources
Hidden signatures
Non-negative matrix factorization
Unsupervised machine learning
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:
ISSN:0375-6505
1879-3576
DOI:10.1016/j.geothermics.2022.102576