three_clust_diff_dist {cardinalR}

Generate three clusters of data points with optional noise.

Description

This function generates three clusters of data points along with optional noise.

Usage

three_clust_diff_dist(n, num_dims, num_noise, min_n, max_n)

Arguments

n

Total number of data points to generate, should be a multiple of three.

num_dims

Number of dimensions for each data point.

num_noise

Number of additional noise dimensions to add to the data.

min_n

Minimum value for the noise added to the data.

max_n

Maximum value for the noise added to the data.

Value

A matrix containing the generated data points with or without added noise.

Examples

set.seed(20240412)
three_clust_diff_dist(
  n = 150, num_dims = 7, num_noise = 4, min_n = -0.05,
  max_n = 0.05
)