three_clust_diff_dist: Generate three clusters of data points with optional noise.

In cardinalR: Collection of Data Structures

Generate three clusters of data points with optional noise.

Description

This function generates three clusters of data points along with optional noise.

Usage

three_clust_diff_dist(n, num_dims, num_noise, min_n, max_n)

Arguments

n	Total number of data points to generate, should be a multiple of three.
num_dims	Number of dimensions for each data point.
num_noise	Number of additional noise dimensions to add to the data.
min_n	Minimum value for the noise added to the data.
max_n	Maximum value for the noise added to the data.

Value

A matrix containing the generated data points with or without added noise.

Examples

set.seed(20240412)
three_clust_diff_dist(
  n = 150, num_dims = 7, num_noise = 4, min_n = -0.05,
  max_n = 0.05
)

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