logscaled_df

datasets

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

logscaled_df function

A data frame with 200 rows and 10 variables:<dl>
<dt>a</dt>
<dd>variable a</dd><dt>b</dt>
<dd>variable b</dd><dt>c</dt>
<dd>variable c</dd><dt>d</dt>
<dd>variable d</dd><dt>e</dt>
<dd>variable e</dd><dt>f</dt>
<dd>variable f</dd><dt>g</dt>
<dd>variable g</dd><dt>h</dt>
<dd>variable h</dd><dt>i</dt>
<dd>variable i</dd><dt>j</dt>
<dd>variable j</dd>
</dl>

Format

Simulated logscaled data — logscaled_df

A data frame with 200 rows and 10 variables:<dl>
<dt>a</dt>
<dd>variable a</dd>

<dt>b</dt>
<dd>variable b</dd>

<dt>c</dt>
<dd>variable c</dd>

<dt>d</dt>
<dd>variable d</dd>

<dt>e</dt>
<dd>variable e</dd>

<dt>f</dt>
<dd>variable f</dd>

<dt>g</dt>
<dd>variable g</dd>

<dt>h</dt>
<dd>variable h</dd>

<dt>i</dt>
<dd>variable i</dd>

<dt>j</dt>
<dd>variable j</dd>


</dl>

logscaled_df: Simulated logscaled data

Description

Usage

Arguments

Format