7.1.142. 3dStatClust

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++ 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:

-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.

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 = Dec 16 2015

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