Examples for 'mclust::clustCombiOptim'
Optimal number of clusters obtained by combining mixture components
Aliases: clustCombiOptim
Keywords: cluster
### ** Examples data(Baudry_etal_2010_JCGS_examples) output <- clustCombi(data = ex4.1)
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combiOptim <- clustCombiOptim(output) str(combiOptim)
List of 3 $ numClusters.combi: int 4 $ z.combi : num [1:600, 1:4] 1.00 1.00 5.78e-04 1.85e-42 3.85e-35 ... $ cluster.combi : num [1:600] 1 1 2 3 3 4 4 3 3 2 ...
# plot optimal clustering with alpha color transparency proportional to uncertainty zmax <- apply(combiOptim$z.combi, 1, max) col <- mclust.options("classPlotColors")[combiOptim$cluster.combi] vadjustcolor <- Vectorize(adjustcolor) alphacol = (zmax - 1/combiOptim$numClusters.combi)/(1-1/combiOptim$numClusters.combi) col <- vadjustcolor(col, alpha.f = alphacol) plot(ex4.1, col = col, pch = mclust.options("classPlotSymbols")[combiOptim$cluster.combi])
[Package mclust version 6.1.1 Index]