getClusterStats

For number of clusters k between two and kmax, evaluate cluster
statistics collected in output tibble.

internal

A 'shiny' GUI that performs high dimensional cluster analysis.
This tool performs data preparation, clustering and visualisation within a dynamic GUI.
With interactive methods allowing the user to change settings all without having to to leave the GUI.
An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.

Gabriel McCoy

pandemonium

High Dimensional Analysis in Linked Spaces

Ursula Laa

German Valencia

getClusterStats function

<dl><dt>dist</dt>
<dd>distances</dd>
<dt>fit</dt>
<dd>result from hclust</dd>
<dt>chivals</dt>
<dd>vector with chi2 values</dd>
<dt>kmax</dt>
<dd>maximum number of clusters considered</dd></dl>

Arguments

Compute cluster statistics — getClusterStats

<dl>

<dt>dist</dt>
<dd>distances</dd>


<dt>fit</dt>
<dd>result from hclust</dd>


<dt>chivals</dt>
<dd>vector with chi2 values</dd>


<dt>kmax</dt>
<dd>maximum number of clusters considered</dd>

</dl>

getClusterStats: Compute cluster statistics

Description

Usage

Value

Arguments