Rick van Veen

Subspace corrected relevance learning with application in neuroimaging

FDG-PET combined with learning vector quantization allows classification of neurodegenerative diseases and reveals the trajectory of idiopathic REM sleep behavior disorder

Learning Vector Quantization with Applications in Neuroimaging and Biomedicine

sklvq: Scikit Learning Vector Quantization

An application of generalized matrix learning vector quantization in neuroimaging