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Found 2 papers, 1 papers with code
Dependent Cluster Mapping (DCMAP): Optimal clustering of directed acyclic graphs for statistical inference
A Directed Acyclic Graph (DAG) can be partitioned or mapped into clusters to support and make inference more computationally efficient in Bayesian Network (BN), Markov process and other models.
clusterBMA: Bayesian model averaging for clustering
In this work we introduce clusterBMA, a method that enables weighted model averaging across results from multiple unsupervised clustering algorithms.
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