Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions. More details can be found in: Brown et al. (2020) tools:::Rd_expr_doi("10.1111/2041-210X.13363") .
Uses support vector machines to identify a perfectly separating hyperplane (linear or curvilinear) between two entities in high-dimensional space. If this plane exists, the entities do not overlap. Applications include overlap detection in morphological, resource or environmental dimensions.
Maintainer: Matilda Brown m.brown2@kew.org (ORCID)
Authors:
Greg Jordan
Matilda Brown matilda.brown@utas.edu.au
More details available in Brown et al. (2020) <doi:10.1111/2041-210X.13363> and vignette.