Tesselate a Mask Volume into K Clusters using K-means

This function tesselates a given mask volume into K clusters using k-means clustering applied to spatial coordinates. It returns a clustered mask volume object.

Usage

tesselate(mask, K = 100)

Arguments

mask

A NeuroVol object representing the mask volume.

K

An integer value specifying the number of clusters (default: 100).

If K exceeds the number of nonzero voxels, a warning is issued and K is set to the number of nonzero voxels.

Value

An instance of ClusteredNeuroVol representing the clustered mask volume.

Examples

if (FALSE) { # \dontrun{
# Assuming you have a NeuroVol object 'mask' and you want to create 150 clusters
clustered_volume <- tesselate(mask, K = 150)
} # }