clustered_searchlight: Create a clustered searchlight iterator

In bbuchsbaum/neuroim2: Data Structures and IO for Neuroimaging Data with an Emphasis on Functional Magnetic Resonance Imaging (FMRI)

Create a clustered searchlight iterator

Description

This function generates a searchlight iterator that iterates over successive spatial clusters in an image volume. It allows for the exploration of spatially clustered regions within the provided mask by using either a pre-defined clustered volume or performing k-means clustering to generate the clusters.

Usage

clustered_searchlight(mask, cvol = NULL, csize = NULL)

Arguments

mask	A NeuroVol object representing the brain mask.
cvol	An optional ClusteredNeuroVol instance representing pre-defined clusters within the mask. If provided, the 'csize' parameter is ignored.
csize	An optional integer specifying the number of clusters to be generated using k-means clustering (ignored if cvol is provided).

Value

A deferred_list object containing ROIVol objects, each representing a clustered region within the image volume.

Examples

# Load an example brain mask
mask <- read_vol(system.file("extdata", "global_mask.nii", package="neuroim2"))

# Generate a clustered searchlight iterator with 5 clusters
## Not run: 
clust_searchlight <- clustered_searchlight(mask, csize = 5)

## End(Not run)

bbuchsbaum/neuroim2 documentation built on Nov. 3, 2024, 9:31 a.m.