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:
-prefix pname    = Use 'pname' for the output dataset prefix name.
  OR                 [default='SC']
-output pname

-session dir     = Use 'dir' for the output dataset session directory.
                     [default='./'=current working directory]
-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.

-thresh t tname  = Use threshold statistic from file tname.
                   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!]
-nclust n        = This specifies the maximum number of clusters for
                   output (= number of sub-bricks in output dataset).

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 = Aug 10 2020 {AFNI_20.2.11:linux_ubuntu_16_64}