Species complex delimitations in the genus <i>Hedychium</i>: A machine learning approach for cluster discovery

Abstract

Together with our proposed character analysis methods, spectral clustering enabled the unsupervised discovery of species boundaries along with an explanation of their biological significance. Our results suggest that spectral clustering combined with a character selection analysis can enhance morphometric analyses and is superior to current clustering methods for species delimitation.