# PlotMixtures: Shows GMM In AdaptGauss: Gaussian Mixture Models (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

## 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 `SingleGausses` Optional, If TRUE, single gaussians are shown, default FALSE `axes` Optional,Default:TRUE with axis, see argument `axis` of `plot` `xlab` Optional, see `plot` `ylab` Optional, see `plot` `xlim` Optional, see `plot` `ylim` Optional, see `plot` `ParetoRad` Optional: Precalculated Pareto Radius to use `...` other plot arguments like xlim = c(1,10)

## Details

Example shows that overlapping variances of gaussians will result in inappropriate decision boundaries.

Michael Thrun

## See Also

`PlotMixturesAndBoundaries`

## Examples

 ```1 2 3``` ```data=c(rnorm(1000),rnorm(2000)+2,rnorm(1000)*2-1) PlotMixtures(data,c(-1,0,2),c(2,1,1),c(0.25,0.25,0.5),SingleColor='blue',SingleGausses=TRUE) ```

AdaptGauss documentation built on March 26, 2020, 7:57 p.m.