clust_diff_shapes_pts {cardinalR}

Generate Clusters with Different Shapes and Different Number of Points

Description

This function generates clusters with different shapes, including both Gaussian and non-Gaussian clusters, with different numbers of points in each cluster.

Usage

clust_diff_shapes_pts(
  clust_size_vec,
  num_gau_clust,
  num_non_gau_clust,
  clust_sd_gau,
  clust_sd_non_gau,
  num_dims,
  a,
  b
)

Arguments

clust_size_vec

A vector specifying the number of points for each cluster.

num_gau_clust

The number of Gaussian clusters to generate.

num_non_gau_clust

The number of non-Gaussian clusters to generate.

clust_sd_gau

The standard deviation for the Gaussian clusters.

clust_sd_non_gau

The standard deviation for the non-Gaussian clusters.

num_dims

The number of dimensions for the data points.

a

The scaling factor for the non-Gaussian cluster shape.

b

The translation factor for the non-Gaussian cluster shape.

Value

A matrix containing the generated clusters with different shapes and different numbers of points.

Examples

# Generate clusters with default parameters
set.seed(20240412)
data <- clust_diff_shapes_pts(
  clust_size_vec = c(50, 50, 50, 50, 100, 100),
  num_gau_clust = 4,
  num_non_gau_clust = 2, clust_sd_gau = 0.05, clust_sd_non_gau = 0.1,
  num_dims = 7, a = 2, b = 4
)