datasets

Clustering methods, which (if asked) can provide step-by-step
explanations of the algorithms used, as described in Ezugwu et. al., (2022)
<doi:10.1016/j.engappai.2022.104743>; and datasets to test them on, which
highlight the strengths and weaknesses of each technique, as presented in
the clustering section of 'scikit-learn' (Pedregosa et al., 2011)
<https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>.

Eduardo Ruiz Sabajanes

clustlearn

Learn Clustering Techniques Through Examples and Code

Juan Jose Cuadrado Gallego

Universidad de Alcala 

db5 function


<div class="section" id="db-">
<h3><code>db5</code></h3><p></p><p>
</p><p>A data frame with 500 rows and 2 columns.</p>
<p>The data points form three non-overlapping circular clusters of similar
density.</p>
</div>


Format

Test Database 5 — db5


<div class='section' id='db-'>
<h3><code>db5</code></h3>


<p>A data frame with 500 rows and 2 columns.</p>
<p>The data points form three non-overlapping circular clusters of similar
density.</p>
</div>


db5: Test Database 5

Description

Usage

Arguments

Format

`db5`