evaluateClusterQuality: Evaluate PC Cluster Quality
In audrina/pcclust: PCA Analysis and Visualization for Clustering

Description Usage Arguments Value See Also Examples

compute Bayesian information criterion (BIC) for Gaussian mixture models (GMM) and associated log likelihood to quantify cluster quality for a subset of PCs.

1	evaluateClusterQuality(pcMatrix)

pcMatrix

a matrix whose columns contain the principal components.

list containing optimal model characteristics and classification

mclustBIC

summary.mclustBIC

data <- validateAndLoadData(iris)
pcObj <- prcomp(data)
pcData <- pcObj$x
iterationResults <- executePCFiltering(pcData)
bestPCSet <- iterationResults[[length(iterationResults)]]
clusterResults <- evaluateClusterQuality(bestPCSet)