compute_gapstat

Compute Gap statistic for clustered data

A Shiny application and functions for visual exploration of hierarchical clustering with numeric datasets. Allows users to iterative set hyperparameters, select features and evaluate results through various plots and computation of evaluation criteria.

Rafael Henkin

visxhclust

A Shiny App for Visual Exploration of Hierarchical Clustering

compute_gapstat function

<dl><dt>df</dt>
<dd>the data used to compute clusters</dd>
<dt>clusters</dt>
<dd>output of <code>compute_clusters()</code> or <code>fastcluster::hclust()</code></dd>
<dt>gap_B</dt>
<dd>number of bootstrap samples for <code><a href="/link/cluster%3A%3AclusGap()?package=visxhclust&version=1.1.0" data-mini-rdoc="visxhclust::cluster::clusGap()">cluster::clusGap()</a></code> function. Default is 50.</dd>
<dt>max_k</dt>
<dd>maximum number of clusters to compute the statistic. Default is 14.</dd></dl>

Arguments

Compute Gap statistic for clustered data — compute_gapstat

<dl>

<dt>df</dt>
<dd>the data used to compute clusters</dd>


<dt>clusters</dt>
<dd>output of <code>compute_clusters()</code> or <code>fastcluster::hclust()</code></dd>


<dt>gap_B</dt>
<dd>number of bootstrap samples for <code><a href='https://rdrr.io/pkg/cluster/man/clusGap.html'>cluster::clusGap()</a></code> function. Default is 50.</dd>


<dt>max_k</dt>
<dd>maximum number of clusters to compute the statistic. Default is 14.</dd>

</dl>

compute_gapstat: Compute Gap statistic for clustered data

Description

Usage

Value

Arguments

Examples