Generate Two Curvilinear Differentiated Clusters with Noise

This function generates data with two curvilinear clusters that are differentiated from each other, along with added noise.

Usage

two_curvy_diff_pts(cluster_size_vec, num_noise, min_n, max_n)

Arguments

cluster_size_vec

A vector specifying the number of points in each cluster.

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 two curvilinear differentiated clusters with noise with custom parameters
set.seed(20240412)
data <- two_curvy_diff_pts(
  cluster_size_vec = c(50, 100), num_noise = 2,
  min_n = -0.05, max_n = 0.05
)