Unsupervised learning on scientific ocean drilling datasets from the South China Sea
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers of Earth Science"
DOI: 10.1007/s11707-018-0704-1
Abstract: Unsupervised learning methods were applied to explore data patterns in multivariate geophysical datasets collected from ocean floor sediment core samples coming from scientific ocean drilling in the South China Sea. Compared to studies on similar… read more here.
Keywords: south china; china sea; unsupervised learning; learning methods ... See more keywords