mlbench.threenorm {mlbench} | R Documentation |

## Threenorm Benchmark Problem

### Description

The inputs of the threenorm problem are points from two Gaussian
distributions with unit covariance matrix. Class 1 is drawn with
equal probability from a unit multivariate normal with mean
*(a,a,...,a)* and from a unit multivariate normal with mean
*(-a,-a,...,-a)*. Class 2 is drawn from a multivariate normal
with mean at *(a,-a,a, ...,-a)*, *a=2/d^{-0.5}*.

### Usage

mlbench.threenorm(n, d=20)

### Arguments

`n` |
number of patterns to create |

`d` |
dimension of the threenorm problem |

### Value

Returns an object of class `"mlbench.threenorm"`

with components

`x` |
input values |

`classes` |
factor vector of length `n` with target classes |

### References

Breiman, L. (1996). Bias, variance, and arcing classifiers.
Tech. Rep. 460, Statistics Department, University of California,
Berkeley, CA, USA.

### Examples

p<-mlbench.threenorm(1000, d=2)
plot(p)

[Package

*mlbench* version 1.0-0

Index]