DistributionOptimization (version 1.2.6)

OverlapErrorByDensity: OverlapErrorByDensity

Description

Similarity in GMM by Density

Usage

OverlapErrorByDensity(Means, SDs, Weights, Data = NULL, Kernels = NULL)

Arguments

Means

Means of the GMM Components

SDs

Standard Deviations of the GMM Components

Weights

Weights of the GMM Components

Data

Dataset that the GMM should be compared with

Kernels

if length(Kernels) = 1: amount of kernels if length(Kernels) > 1: kernels in dataspace at which the GMM Components will be compared with each other

Value

List: OverlapError Error for estimating the maximal Overlap of AUC of PDFs of each pair of GMM Components Kernels Kernels that were used for comparing the GMM Components

Details

Calculates the similarity (overlap) between multiple modes in Gaussian Mixture Models. Kernels at equally distanced positions are used, if not explicitly given.

Examples

# NOT RUN {
Data = c(rnorm(50,1,2), rnorm(50,3,4))
V<-OverlapErrorByDensity(c(1,3), c(2,4), c(0.5,0.5), Data = Data)
AdaptGauss::PlotMixtures(Data, c(1,3), c(2,4), SingleGausses = TRUE)
print(V$OverlapError)
# }