mlbench.ringnorm {mlbench} | R Documentation |

## Ringnorm Benchmark Problem

### Description

The inputs of the ringnorm problem are points from two Gaussian
distributions. Class 1 is multivariate normal with mean 0 and
covariance 4 times the identity matrix. Class 2 has unit covariance
and mean *(a,a,...,a)*, *a=d^{-0.5}*.

### Usage

mlbench.ringnorm(n, d=20)

### Arguments

`n` |
number of patterns to create |

`d` |
dimension of the ringnorm problem |

### Value

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

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.ringnorm(1000, d=2)
plot(p)

[Package

*mlbench* version 1.0-0

Index]