| make_curvygau | R Documentation | 
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.
make_curvygau(n = c(200, 100), p = 4)
| 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. | 
A tibble containing n[1] + n[2] rows and p columns,
with generated features (x1, x2, ..., xp) and a
cluster label.
# Generate 2 clusters in 4D: one quadratic, one Gaussian
curvygau <- make_curvygau()
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