curvy_branch_clust {cardinalR}

Generate Curvy Branching Cluster Data

Description

This function generates curvy branching cluster data with three clusters of different shapes.

Usage

curvy_branch_clust(n, clust_vec, num_noise, min_n, max_n)

Arguments

n

The total number of data points to be generated.

clust_vec

A vector specifying the number of points for each cluster. If not provided, the n is divided equally among the clusters.

num_noise

The number of additional noise dimensions to be generated.

min_n

The minimum value for the noise added to the data points.

max_n

The maximum value for the noise added to the data points.

Value

A matrix containing the generated data, with each row representing a data point.

Examples

# Generate curvy branching cluster data with custom parameters
set.seed(20240412)
data <- curvy_branch_clust(
  n = 300, clust_vec = c(100, 150, 50),
  num_noise = 2, min_n = -0.05, max_n = 0.05
)