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as_mild_list(): standardizes multiple imputation
outputs into a unified list of completed datasets.cluster_imputations(): applies clustering algorithms
across all imputed datasets.consensus_clustering(): builds a consensus partition
via co-assignment matrix.validate_clustering(): computes internal and stability
validation metrics.choose_best_clustering(): selects the optimal k via
weighted rank aggregation.run_mi_clustering(): convenience wrapper for the full
pipeline.plot_consensus_matrix(): heatmap of the co-assignment
matrix.plot_consensus_dendrogram(): dendrogram of the
consensus solution.plot_validation_metrics(): multi-panel plot of
validation metrics.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.