mlr_measures_clust.dunn

The score function calls <code>fpc::cluster.stats()</code> from package <a href="https://CRAN.R-project.org/package=fpc">fpc</a>.
"dunn" is used subset output of the function call.

Extends the 'mlr3' package with cluster analysis.

Maximilian Muecke

mlr3cluster

Cluster Extension for 'mlr3'

Maximilian Mücke

Damir Pulatov

Michel Lang

Marc Becker

mlr_measures_clust.dunn function

<code><a href="https://r6.r-lib.org/reference/R6Class.html">R6::R6Class()</a></code> inheriting from MeasureClust.

Format

This measures can be retrieved from the dictionary mlr3::mlr_measures:
<div class="sourceCode"></div><pre><code>mlr_measures$get("clust.dunn")
msr("clust.dunn")
</code></pre>

Construction

<ul>
<li>Range: $[0, \infty)$</li>
<li>Minimize: <code>FALSE</code></li>
<li>Required predict type: <code>partition</code></li>
</ul>

Meta Information

The score function calls <code>fpc::cluster.stats()</code> from package <a href='https://CRAN.R-project.org/package=fpc'>fpc</a>.
"dunn" is used subset output of the function call.

Dunn Index — mlr_measures_clust.dunn

<code><a href='https://r6.r-lib.org/reference/R6Class.html'>R6::R6Class()</a></code> inheriting from MeasureClust.

This measures can be retrieved from the dictionary mlr3::mlr_measures:
<div class="sourceCode"><pre><code>mlr_measures$get("clust.dunn")
msr("clust.dunn")
</code></pre></div>

<ul>
<li>Range: $[0, \infty)$</li>
<li>Minimize: <code>FALSE</code></li>
<li>Required predict type: <code>partition</code></li>
</ul>

mlr_measures_clust.dunn: Dunn Index

Description

Arguments

Format

Construction

Meta Information

See Also