evaluateClusterQuality: Evaluate PC Cluster Quality

Description Usage Arguments Value See Also Examples

View source: R/evaluateClusterQuality.R

Description

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

Usage

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Arguments

pcMatrix

a matrix whose columns contain the principal components.

Value

list containing optimal model characteristics and classification

See Also

mclustBIC

summary.mclustBIC

Examples

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

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