prep_data_dist

Prepares data and distance matrices for metric calculation

A common interface to specifying clustering models, in the
same style as 'parsnip'. Creates unified interface across different
functions and computational engines.

Emil Hvitfeldt

tidyclust

A Common API to Clustering

Kelly Bodwin

Posit Software, PBC 

prep_data_dist function

<dl><dt>object</dt>
<dd>A fitted <code>cluster_spec</code> object.</dd>
<dt>new_data</dt>
<dd>A dataset to calculate predictions on. If <code>NULL</code>, the
trained cluster assignments from the fitted object are used.</dd>
<dt>dists</dt>
<dd>A distance matrix for the data. If <code>NULL</code>, distance is computed
on <code>new_data</code> using the <code><a href="/link/stats%3A%3Adist()?package=tidyclust&version=0.2.4" data-mini-rdoc="tidyclust::stats::dist()">stats::dist()</a></code> function.</dd>
<dt>dist_fun</dt>
<dd>A custom distance functions.</dd></dl>

Arguments

Prepares data and distance matrices for metric calculation — prep_data_dist

<dl>

<dt>object</dt>
<dd>A fitted <code>cluster_spec</code> object.</dd>


<dt>new_data</dt>
<dd>A dataset to calculate predictions on. If <code>NULL</code>, the
trained cluster assignments from the fitted object are used.</dd>


<dt>dists</dt>
<dd>A distance matrix for the data. If <code>NULL</code>, distance is computed
on <code>new_data</code> using the <code><a href='https://rdrr.io/r/stats/dist.html'>stats::dist()</a></code> function.</dd>


<dt>dist_fun</dt>
<dd>A custom distance functions.</dd>

</dl>

prep_data_dist: Prepares data and distance matrices for metric calculation

Description

Usage

Value

Arguments