tesselate: Tesselate a Mask Volume into K Clusters using K-means

In bbuchsbaum/neurocluster: Spatially contrained clustering for neuroimaging data

Tesselate a Mask Volume into K Clusters using K-means

Description

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).

Value

An instance of ClusteredNeuroVol representing the clustered mask volume.

Examples

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

bbuchsbaum/neurocluster documentation built on April 1, 2024, 8:43 p.m.