tedana.model.fit.spatclust

spatclust(img, min_cluster_size, threshold=None, index=None, mask=None)[source]

Spatially clusters img

Parameters:
  • img (str or img_like) – Image file or object to be clustered
  • min_cluster_size (int) – Minimum cluster size (in voxels)
  • threshold (float, optional) – Whether to threshold img before clustering
  • index (array_like, optional) – Whether to extract volumes from img for clustering
  • mask ((S,) array_like, optional) – Boolean array for masking resultant data array
Returns:

clustered – Binarized array (values are 0 or 1) of clustered (and thresholded) img data

Return type:

numpy.ndarray