gau_clust: Generate synthetic data with Gaussian clusters

In cardinalR: Collection of Data Structures

Generate synthetic data with Gaussian clusters

Description

Generate Gaussian Clusters

Usage

gau_clust(
  n,
  num_clust,
  mean_matrix,
  var_vec,
  num_dims,
  num_noise,
  min_n,
  max_n
)

Arguments

n	The total number of data points to be generated.
num_clust	The number of clusters to generate.
mean_matrix	A matrix where each row represents the mean vector for a cluster.
var_vec	A vector specifying the variance for each cluster.
num_dims	The number of effective dimensions for the data points.
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.

Details

This function generates Gaussian clusters with specified parameters.

Value

A matrix containing the generated Gaussian clusters.

Examples

set.seed(20240412)
gau_clust(
  n = 300, num_clust = 5,
  mean_matrix = rbind(
    c(1, 0, 0, 0), c(0, 1, 0, 0), c(0, 0, 1, 0),
    c(0, 0, 0, 1), c(0, 0, 0, 0)
  ), var_vec = c(0.05, 0.05, 0.05, 0.05, 0.05),
  num_dims = 4, num_noise = 2, min_n = -0.05, max_n = 0.05
)

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