glzcs

Generates three metrics
of support for the observed clusters
at all hierarchical levels

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

glzcs function

<dl> <dt>GRPs</dt>
<dd>List object generated by the functions IDscluster &amp; IDscluster2</dd> <dt>M2</dt>
<dd>Class list object generated by the functions glzcluster or glzcluster2</dd></dl>

Arguments

Roger Guevara (roger.guevara@inecol.mx) &amp; 
Ian MacGregor-Fors (ian.macgregor@helsinki.fi)

Author

Support for Groups and Subgroups
in the Generalized Dendrogram — glzcs

<dl>

 <dt>GRPs</dt>
<dd>List object generated by the functions IDscluster &amp; IDscluster2</dd>

 <dt>M2</dt>
<dd>Class list object generated by the functions glzcluster or glzcluster2</dd>

</dl>

glzcs: Support for Groups and Subgroups in the Generalized Dendrogram

Description

Usage

Value

Arguments

Author

References

Examples