Generate Three Cluster Mirror with Noise

This function generates data with three clusters forming a mirror image, along with added noise.

Usage

three_clust_mirror(n, num_noise, min_n, max_n)

Arguments

n

The total number of data points to be generated.

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 three cluster mirror with noise with custom parameters
set.seed(20240412)
data <- three_clust_mirror(n = 300, num_noise = 2, min_n = -0.05, max_n = 0.05)