Computes the mean of the distances from each point to its <code>ne</code>th
 nearest neighbor.

cluster

Distance-based parametric bootstrap tests for clustering with
spatial neighborhood information. Some distance measures,
Clustering of presence-absence, abundance and multilocus genetic data
for species delimitation, nearest neighbor
based noise detection. Genetic distances between communities.
Tests whether various distance-based regressions
are equal. Try package?prabclus for on overview.

Christian Hennig

prabclus

Functions for Clustering and Testing of Presence-Absence,
Abundance and Multilocus Genetic Data

Bernhard Hausdorf

nn function

<dl> <dt>distmat</dt>
<dd>symmetric distance matrix (not a <code>dist</code>-object).</dd> <dt>ne</dt>
<dd>integer.</dd></dl>

Arguments

Christian Hennig
 <a href="/link/christian.hennig%40unibo.it?package=prabclus&version=2.3-4" data-mini-rdoc="prabclus::christian.hennig@unibo.it">christian.hennig@unibo.it</a>
 <a href="https://www.unibo.it/sitoweb/christian.hennig/en">https://www.unibo.it/sitoweb/christian.hennig/en</a>

Author

Mean distance to kth nearest neighbor — nn

<dl>

 <dt>distmat</dt>
<dd>symmetric distance matrix (not a <code>dist</code>-object).</dd>

 <dt>ne</dt>
<dd>integer.</dd>

</dl>

Christian Hennig
 <a href='mailto:christian.hennig@unibo.it'>christian.hennig@unibo.it</a>
 <a href='https://www.unibo.it/sitoweb/christian.hennig/en'>https://www.unibo.it/sitoweb/christian.hennig/en</a>

nn: Mean distance to kth nearest neighbor

Description

Usage

Value

Arguments

Author

References

See Also

Examples