++ 3dStatClust: AFNI version=AFNI_2011_12_21_1014 (Dec 16 2015) [64-bit] ++ Authored by: B. Douglas Ward Perform agglomerative hierarchical clustering for user specified parameter sub-bricks, for all voxels whose threshold statistic is above a user specified value.
Usage: 3dStatClust options datasets where the options are:
-output pname
-verb = Print out verbose output as the program proceeds.
Options for calculating distance between parameter vectors:
-dist_euc = Calculate Euclidean distance between parameters
-dist_ind = Statistical distance for independent parameters
-dist_cor = Statistical distance for correlated parameters
The default option is: Euclidean distance.
Only voxels whose threshold statistic is greater than t in abolute value will be considered.
[If file tname contains more than 1 sub-brick, the threshold stat. sub-brick must be specified!]
Command line arguments after the above are taken as parameter datasets.
This program accepts datasets that are modified on input according to the following schemes:
‘r1+orig[3..5]’ {sub-brick selector} ‘r1+orig<100..200>’ {sub-range selector} ‘r1+orig[3..5]<100..200>’ {both selectors} ‘3dcalc( -a r1+orig -b r2+orig -expr 0.5*(a+b) )’ {calculation}
For the gruesome details, see the output of ‘afni -help’.
++ Compile date = Dec 16 2015