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Cluster analysis identified two phenogroups of former smokers. In order to identify phenogroups within the population of former smokers, Gower distance to identify dissimilarity between individuals was calculated and a partitioning around mediods algorithm was used to identify the clusters. The clusters were visualized using t-distributed stochastic neighborhood embedding to reduce dimensionality of the data.
