An Empirical Demonstration of Unsupervised Machine Learning in Species Delimitation
S. Derkarabetian, S. Castillo, P. K. Koo, S. Ovchinnikov, M. Hedin
This study demonstrates that unsupervised machine learning methods can effectively identify species-level divergences in genetic data, outperforming traditional model-based approaches in avoiding over-splitting species.
bioRxiv · Sep 28, 2018Evolutionary Biology