Fig. 1
From: Hypercluster: a flexible tool for parallelized unsupervised clustering optimization
Hypercluster workflow schematic. a Clustering algorithms and their respective hyperparameters are user-specified. Hypercluster then uses those combinations to create exhaustive configurations, and if selected a random subset is chosen. b Snakemake is then used to distribute each clustering calculation into different jobs. c Each set of clustering labels is then evaluated in a separate job by a user-specified list of metrics. d All clustering results and evaluation results are aggregated into tables. Best labels can also be chosen by a user-specified metric.