Table 1:

Computation times (in minutes) for clustering a randomly selected subject’s data with the two similarity measures and different numbers of prototype streamlines or numbers of points N, assuming that computations of anatomical similarity for different neighborhood elements are parallelized.

Number of prototype streamlines	50	100	250	500	1000	3000
Anatomical similarity (N = 10)	5.31	9.09	21.37	60.07	243.46	1951.30
Euclidean similarity (N = 10)	2.45	4.16	10.14	41.26	282.30	1878.08
Anatomical similarity (N = 50)	8.46	12.57	27.44	74.16	260.20	2347.28
Euclidean similarity (N = 50)	9.20	15.26	36.03	93.29	321.49	2392.37