This function generates a dataset consisting of one grid-like cluster
(a structured cube grid) in 2D, with optional Gaussian noise dimensions
added to extend the dataset into higher dimensions.
Usage
make_onegrid(n = 500, p = 4)
Arguments
- n
Integer, the number of points in the grid cluster. Must be positive.
Default is 500.
- p
Integer, the dimensionality of the embedding space. Must be at least 2.
Default is 4.
Value
A tibble containing the generated dataset with columns:
x1, x2, ..., xp — coordinates of the data points.
cluster — cluster assignment (always 1 for the grid).
Examples
# Default: 500 points, 4D space (grid in 2D + 2 noise dimensions)
onegrid <- make_onegrid()
#> ✔ Data generation completed successfully!!!
#> ✔ Multiple clusters generation completed successfully!!!
#> ✔ 2 noise dimensions have been generated successfully!!!
