AFNI program: 3dStatClust
Output of -help
++ 3dStatClust: AFNI version=AFNI_24.1.03 (Apr 18 2024) [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:
-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 absolute 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.
INPUT DATASET NAMES
-------------------
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 = Apr 18 2024 {AFNI_24.1.03:linux_ubuntu_16_64}
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Thu Apr 18 14:46:01 EDT 2024