num_clusters-methods: Number of Clusters

In bbuchsbaum/neuroim2: Data Structures for Brain Imaging Data

Number of Clusters

Description

This function returns the number of clusters in a ClusteredNeuroVol object.

Usage

num_clusters(x)

## S4 method for signature 'ClusteredNeuroVol'
num_clusters(x)

Arguments

x	A ClusteredNeuroVol object.

Value

An integer representing the number of clusters in x.

An integer representing the number of clusters in the input object.

Examples

# Create a simple 3D volume and mask
space <- NeuroSpace(c(16, 16, 16), spacing = c(1, 1, 1))
vol_data <- array(rnorm(16^3), dim = c(16, 16, 16))
mask_vol <- LogicalNeuroVol(vol_data > 0, space)

# Get coordinates of masked voxels for clustering
mask_idx <- which(mask_vol)
coords <- index_to_coord(mask_vol, mask_idx)

# Cluster the coordinates into 10 groups using k-means
set.seed(123)  # for reproducibility
kmeans_result <- kmeans(coords, centers = 10)

# Create a clustered volume
clustered_vol <- ClusteredNeuroVol(mask_vol, kmeans_result$cluster)

# Get the number of clusters
n_clusters <- num_clusters(clustered_vol)
n_clusters == 10

bbuchsbaum/neuroim2 documentation built on Feb. 26, 2025, 3:49 p.m.