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Generate Two Linear Differentiated Clusters with Noise

Source: R/linear.R
two_long_clust_diff.Rd

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

Usage

two_long_clust_diff(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 two linear differentiated clusters with noise with custom parameters
set.seed(20240412)
data <- two_long_clust_diff(
  n = 300, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)