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Generate Doublets with Three Clusters and Noise

Source: R/clustering.R
three_doublets.Rd

This function generates data with three sets of doublets (pairs of clusters) along with added background noise.

Usage

three_doublets(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 doublets with three clusters and noise with custom parameters
set.seed(20240412)
data <- three_doublets(
  n = 420, num_noise = 2,
  min_n = -0.05, max_n = 0.05
)