knn_shrink: knn_shrink

In bbuchsbaum/neurocluster: Spatially contrained clustering for neuroimaging data

knn_shrink

Description

Replace each voxel by the mean of its k nearest neighbors in its local spatial neighborhood

Usage

knn_shrink(bvec, mask, k = 5, connectivity = 27)

Arguments

bvec	bvec a NeuroVec instance
mask	a mask defining the voxels to include in the clustering result.
k	the number of nearest neighbors to average over.
connectivity	the number of spatial neighbors to include in the search space around each voxel.

Examples

mask <- NeuroVol(array(1, c(20,20,20)), NeuroSpace(c(20,20,20)))
bvec <- replicate(10, NeuroVol(array(runif(20*20*20), c(20,20,20)),
NeuroSpace(c(20,20,20))), simplify=FALSE)
bvec <- do.call(concat, bvec)

sbvec <- knn_shrink(bvec, mask,k=3)

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