Spectral clustering machine learning approach for white matter tract identification Data-driven white matter parcellation learned from healthy subjects tractography White matter parcellation applied to 18 consecutive patients with brain tumors Arcuate fasciculus and corticospinal tracts identified in all patients All tracts within 3xA0;mm of corresponding patient-specific functional activations