two_curvy_diff_pts: Generate Two Curvilinear Differentiated Clusters with Noise

In cardinalR: Collection of Data Structures

Generate Two Curvilinear Differentiated Clusters with Noise

Description

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

Usage

two_curvy_diff_pts(cluster_size_vec, num_noise, min_n, max_n)

Arguments

cluster_size_vec	A vector specifying the number of points in each cluster.
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 curvilinear differentiated clusters with noise with custom parameters
set.seed(20240412)
data <- two_curvy_diff_pts(
  cluster_size_vec = c(50, 100), num_noise = 2,
  min_n = -0.05, max_n = 0.05
)

cardinalR documentation built on May 29, 2024, 4:37 a.m.