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.
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