octopucs: Statistical Support for Hierarchical Clusters
Generates n hierarchical clustering
hypotheses on subsets of classifiers (usually species in
community ecology studies). The n clustering hypotheses are combined to generate
a generalized cluster, and computes three metrics of support.
1) The average proportion of elements conforming the group
in each of the n clusters (integrity). And 2) the contamination,
i.e., the average proportion of elements from other groups that
enter a focal group. 3) The probability of existence of the group
gives the integrity and contamination in a Bayesian approach.
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