# mlbench.hypercube

From mlbench v2.1-1
by Friedrich Leisch

##### Corners of Hypercube

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 $2^d$.

- Keywords
- datagen

##### 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

- x
- input values
- classes
- factor of length
`n`

with target classes

`"mlbench.hypercube"`

with components
##### Examples

`library(mlbench)`

```
p <- mlbench.hypercube()
plot(p)
library("lattice")
cloud(x.3~x.1+x.2, groups=classes, data=as.data.frame(p))
```

*Documentation reproduced from package mlbench, version 2.1-1, License: GPL-2*

### Community examples

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