Internal function to label the membership of two 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.

Roger Guevara

octopucs

Statistical Support for Hierarchical Clusters

Ian MacGregor-Fors

F1 function

<dl> <dt>A</dt>
<dd>Memberships in the first cluster</dd> <dt>B</dt>
<dd>Membership in the second cluster</dd></dl>

Arguments

Roger Guevara (roger.guevara@inecol.mx)

Author

Labeling of memberships of
two groups — F1

<dl>

 <dt>A</dt>
<dd>Memberships in the first cluster</dd>

 <dt>B</dt>
<dd>Membership in the second cluster</dd>

</dl>

F1: Labeling of memberships of two groups

Description

Usage

Value

Arguments

Author