Group Consensus Cluster Analysis
The program clusters a group of
decision makers into smaller subgroups with higher consensus.
For each pair of decision makers the similarity of priorities
is calculated, using Shannon alpha and beta entropy. The result
is arranged in a similarity matrix and sorted into clusters
of higher similarity based on a consensus threshold.
See Goepel 2022 (preprint) for more details.
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