Ntaios G., Weng S.F., Perlepe K., Akyea R., Condon L., Lambrou D., Sirimarco G., Strambo D., Eskandari A., Karagkiozi E., Vemmou A., Korompoki E., Manios E., Makaritsis K., Vemmos K., Michel P. (2021)
Background and purpose: Hierarchical clustering, a common ‘unsupervised’ machine-learning algorithm, is advantageous for exploring potential underlying aetiology in particularly heterogeneous diseases. We investigated ...