mlbench.hypercube: Corners of Hypercube

In mlbench: Machine Learning Benchmark Problems

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 documentation built on April 4, 2025, 12:21 a.m.