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Generate a Three-Cluster Dataset in High Dimensions

Source: R/three_clusters.R
make_three_clust_04.Rd

This function generates a dataset consisting of three distinct clusters in a \(p\)-dimensional space. Each cluster is generated with a specified shape and location using the underlying `gen_multicluster()` function.

Usage

make_three_clust_04(n = c(700, 300, 500), p = 4)

Arguments

n

An integer vector of length 3 specifying the number of points in each cluster. Default is c(700, 300, 500).

p

Integer, the dimensionality of the space. Default is 4.

Value

A data frame (or tibble, depending on `gen_multicluster()`) containing the generated dataset with cluster assignments.

Examples

# Generate default three clusters in 4-D
three_clust_04 <- make_three_clust_04()
#> ✔ Data generation completed successfully!!!
#> ✔ Data generation completed successfully!!!
#> ✔ 1 noise dimensions have been generated successfully!!!
#> ✔ Data generation completed successfully!!!
#> ✔ Multiple clusters generation completed successfully!!!