.k_means_fit_stats

This wrapper runs <code><a href="/link/stats%3A%3Akmeans()?package=tidyclust&version=0.2.4" data-mini-rdoc="tidyclust::stats::kmeans()">stats::kmeans()</a></code> and adds a check that <code>centers</code> is
specified. And reorders the clusters.

internal

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 

.k_means_fit_stats function

<dl><dt>centers</dt>
<dd>either the number of clusters, say \(k\), or a set of
 initial (distinct) cluster centres. If a number, a random set of
 (distinct) rows in <code>x</code> is chosen as the initial centres.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code><a href="/link/stats%3A%3Akmeans()?package=tidyclust&version=0.2.4" data-mini-rdoc="tidyclust::stats::kmeans()">stats::kmeans()</a></code></dd></dl>

Arguments

This wrapper runs <code><a href='https://rdrr.io/r/stats/kmeans.html'>stats::kmeans()</a></code> and adds a check that <code>centers</code> is
specified. And reorders the clusters.

Simple Wrapper around stats kmeans — .k_means_fit_stats

<dl>

<dt>centers</dt>
<dd>either the number of clusters, say \(k\), or a set of
 initial (distinct) cluster centres. If a number, a random set of
 (distinct) rows in <code>x</code> is chosen as the initial centres.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code><a href='https://rdrr.io/r/stats/kmeans.html'>stats::kmeans()</a></code></dd>

</dl>

.k_means_fit_stats: Simple Wrapper around stats kmeans

Description

Usage

Value

Arguments