:orphan: .. _ahelp_3dStatClust: *********** 3dStatClust *********** .. contents:: :local: | .. code-block:: none 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}