mlbench: mlbench.hypercube – R documentation

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mlbench.hypercube

Corners of Hypercube

Description

The created data are d-dimensional spherical Gaussians with standard deviation sd and means at the corners of a d-dimensional hypercube. The number of classes is 2^d.

Usage

mlbench.hypercube(n=800, d=3, sides=rep(1,d), sd=0.1)
hypercube(d)

Arguments

`n`	number of patterns to create
`d`	dimensionality of hypercube, default is 3
`sides`	lengths of the sides of the hypercube, default is to create a unit hypercube
`sd`	standard deviation

Value

Returns an object of class "mlbench.hypercube" with components

`x`	input values
`classes`	factor of length `n` with target classes

Examples

p <- mlbench.hypercube()
plot(p)

library("lattice")
cloud(x.3~x.1+x.2, groups=classes, data=as.data.frame(p))

mlbench

Machine Learning Benchmark Problems

v2.1-3

GPL-2

Authors

Friedrich Leisch and Evgenia Dimitriadou.

Initial release

2021-01-21