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Generate Curvy Quadratic and Gaussian Clusters

Source: R/odd_shapes.R
make_curvygau.Rd

This function generates synthetic high-dimensional data containing two clusters: one quadratic-shaped cluster and one Gaussian-shaped cluster. The clusters are positioned apart in feature space with different scaling factors.

Usage

make_curvygau(n = c(200, 100), p = 4)

Arguments

n

A numeric vector of length 2, specifying the number of observations in each cluster. All values must be positive.

p

Integer. Number of dimensions. Must be at least 3.

Value

A tibble containing \(n[1] + n[2]\) rows and \(p\) columns, with generated features (x1, x2, ..., xp) and a cluster label.

Examples

# Generate 2 clusters in 4D: one quadratic, one Gaussian
curvygau <- make_curvygau()
#> ✔ 2 noise dimensions have been generated successfully!!!
#> ✔ Data generation completed successfully!!!
#> ✔ Data generation completed successfully!!!
#> ✔ Multiple clusters generation completed successfully!!!