.k_means_fit_klaR

This wrapper runs <code>klaR::kmodes()</code> 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_klaR function

<dl><dt>data</dt>
<dd>A matrix or data frame of categorical data. Objects have to be in rows, variables in columns.</dd>
<dt>modes</dt>
<dd>Either the number of modes or a set of initial
 (distinct) cluster modes. If a number, a random set of (distinct)
 rows in <code>data</code> is chosen as the initial modes.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code>klaR::kmodes()</code></dd></dl>

Arguments

Simple Wrapper around klaR kmeans — .k_means_fit_klaR

<dl>

<dt>data</dt>
<dd>A matrix or data frame of categorical data. Objects have to be in rows, variables in columns.</dd>


<dt>modes</dt>
<dd>Either the number of modes or a set of initial
 (distinct) cluster modes. If a number, a random set of (distinct)
 rows in <code>data</code> is chosen as the initial modes.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code>klaR::kmodes()</code></dd>

</dl>

.k_means_fit_klaR: Simple Wrapper around klaR kmeans

Description

Usage

Value

Arguments