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Generate Clusters and Curvilinear Data with Noise

Source: R/clustering.R
gau_curvy_clust_bkg.Rd

This function generates data with clusters and curvilinear patterns along with added background noise.

Usage

gau_curvy_clust_bkg(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 clusters and curvilinear data with noise with custom parameters
set.seed(20240412)
data <- gau_curvy_clust_bkg(
  n = 260, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)