mlbench.2dnormals {mlbench} | R Documentation |

## 2-dimensional Gaussian Problem

### Description

Each of the `cl`

classes consists of a 2-dimensional
Gaussian. The centers are equally spaced on a circle around the
origin with radius `r`

.

### Usage

mlbench.2dnormals(n, cl=2, r=sqrt(cl), sd=1)

### Arguments

`n` |
number of patterns to create |

`cl` |
number of classes |

`r` |
radius at which the centers of the classes are located |

`sd` |
standard deviation of the Gaussians |

### Value

Returns an object of class `"bayes.2dnormals"`

with components

`x` |
input values |

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

### Examples

# 2 classes
p <- mlbench.2dnormals(500,2)
plot(p)
# 6 classes
p <- mlbench.2dnormals(500,6)
plot(p)

[Package

*mlbench* version 1.0-0

Index]