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Generate a Single Grid Cluster in High Dimensions

Source: R/odd_shapes.R
make_onegrid.Rd

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)

Arguments

n

Integer, the number of points in the grid cluster. Must be positive. Default is 500.

Value

A tibble containing the generated dataset with columns:

  • x1, x2, x3, x4 — 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!!!