determineOptimalModel: Determine Optimal GMM

Description Usage Arguments Value See Also Examples

View source: R/determineOptimalModel.R

Description

Use log likelihood criterion to select optimal model for best PC set.

Usage

1

Arguments

bestPCSet

a matrix whose columns contain the optimal principal components.

Value

summary of output from mclust::mclustBIC(<bestPCSet>) computed with optimal model parameters.

See Also

mclustBIC

Examples

1
2
3
4
5
6
7
data <- validateAndLoadData(iris)
pcObj <- prcomp(data)
pcData <- pcObj$x
iterationResults <- executePCFiltering(pcData)
bestPCSet <- iterationResults[[length(iterationResults)]]
clusterResults <- evaluateClusterQuality(bestPCSet)
optimalModel <- determineOptimalModel(bestPCSet)

audrina/pcclust documentation built on Oct. 10, 2018, 7:21 p.m.