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This function generates a dataset consisting of a mobius cluster with added noise.

Usage

mobius_clust(n, num_noise, min_n, max_n)

Arguments

n

The total number of samples to generate.

num_noise

The number of additional noise dimensions to add to the data.

min_n

The minimum value for the noise dimensions.

max_n

The maximum value for the noise dimensions.

Value

A matrix containing the mobius cluster with added noise.

Examples

mobius_cluster <- mobius_clust(
  n = 200, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)