# Shows GMM

### Description

Plots Gaussian Mixture Model without Bayes decision boundaries, such that:

Black is the PDE of Data

Red is color of the GMM

Blue is the color of components of the mixture

### Usage

1 2 | ```
PlotMixtures(Data, Means, SDs, Weights,IsLogDistribution, SingleColor,
MixtureColor,DataColor, SingleGausses,axes, xlab, ylab,xlim, ylim, ...)
``` |

### Arguments

`Data` |
vector (1:N) of data points |

`Means` |
vector[1:L] of Means of Gaussians (of GMM),L == Number of Gaussians |

`SDs` |
vector of standard deviations, estimated Gaussian Kernels, has to be the same length as Means |

`Weights` |
vector of relative number of points in Gaussians (prior probabilities), has to be the same length as Means |

`IsLogDistribution` |
Optional, ==1 if distribution(i) is a LogNormal, default vector of zeros of length 1:L |

`SingleColor` |
Optional,Color for line plot of all the single gaussians, default magenta |

`MixtureColor` |
Optional,Color of line lot for the mixture default red |

`DataColor` |
Optional,Color of line plot for the data, default black |

`axes` |
Optional,Default:TRUE with axis, see argument |

`xlim` |
Optional, see |

`ylim` |
Optional, see |

`xlab` |
Optional, see |

`ylab` |
Optional, see |

`SingleGausses` |
Optional, If TRUE, single gaussians are shown, default FALSE |

`...` |
other plot arguments like xlim = c(1,10) |

### Author(s)

Michael Thrun

### See Also

`PlotMixturesAndBoundaries`

### Examples

1 2 |