BinaryPlot

<p>The <code>BinaryPlot</code> implements a basic plot for
bi-class problem.</p>

hplot

color

device

Provides a novel framework to able to automatically develop and deploy
an accurate Multiple Classifier System based on the feature-clustering
distribution achieved from an input dataset. 'D2MCS' was developed focused on
four main aspects: (i) the ability to determine an effective method to
evaluate the independence of features, (ii) the identification of the
optimal number of feature clusters, (iii) the training and tuning of ML
models and (iv) the execution of voting schemes to combine the outputs of
each classifier comprising the Multiple  Classifier System.

Miguel Ferreiro-D<c3><ad>az

D2MCS

Data Driving Multiple Classifier System

David Ruano-Ordás

Miguel Ferreiro-Díaz

José Ramón Méndez

University of Vigo 

BinaryPlot function

<p><code>D2MCS::GenericPlot</code> -&gt; <code>BinaryPlot</code></p>

Super class


<div class="section" id="public-methods">
<h3>Public methods</h3><p></p><p><ul>
<li><p><a href="/link/BinaryPlot%24new()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::BinaryPlot$new()"><code>BinaryPlot$new()</code></a></p></li>
<li><p><a href="/link/BinaryPlot%24plot()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::BinaryPlot$plot()"><code>BinaryPlot$plot()</code></a></p></li>
<li><p><a href="/link/BinaryPlot%24clone()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::BinaryPlot$clone()"><code>BinaryPlot$clone()</code></a></p></li>
</ul></p><p></p></div><p><hr>
<a id="method-BinaryPlot-new"></a></p><div class="section" id="method-new-">
<h3>Method <code>new()</code></h3>
<p>Empty function used to initialize the object arguments in
runtime.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>BinaryPlot$new()</code></pre><p></p></div><p></p>
</div><p></p><p>
</p><p><hr>
<a id="method-BinaryPlot-plot"></a></p><div class="section" id="method-plot-">
<h3>Method <code><a href="/link/plot()?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::plot()">plot()</a></code></h3>
<p>Plots feature-clustering data from a bi-class problem.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>BinaryPlot$plot(summary)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>summary</code></dt>
<dd><p>A <a href="/link/data.frame?package=D2MCS&version=1.0.1" data-mini-rdoc="D2MCS::data.frame">data.frame</a> comprising the elements to be plotted.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p></p><p><hr>
<a id="method-BinaryPlot-clone"></a></p><div class="section" id="method-clone-">
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class="section" id="usage">
<h4>Usage</h4>
<p><div class="r"></div></p><pre><code>BinaryPlot$clone(deep = FALSE)</code></pre><p></p></div><p></p>
</div><p></p><p><div class="section" id="arguments">
<h4>Arguments</h4>
<p><div class="arguments"></div></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd></dl></div></p><p>
</p><p></p>
<p></p><p>
</p>

Methods

Plotting feature clusters following bi-class problem. — BinaryPlot


<div class='section' id='public-methods'>
<h3>Public methods</h3>

<ul>
<li><p><a href='#method-BinaryPlot-new'><code>BinaryPlot$new()</code></a></p></li>
<li><p><a href='#method-BinaryPlot-plot'><code>BinaryPlot$plot()</code></a></p></li>
<li><p><a href='#method-BinaryPlot-clone'><code>BinaryPlot$clone()</code></a></p></li>
</ul>

</div><p><hr>
<a id="method-BinaryPlot-new"></a></p><div class='section' id='method-new-'>
<h3>Method <code>new()</code></h3>
<p>Empty function used to initialize the object arguments in
runtime.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>BinaryPlot$new()</code></pre><p></div></p>
</div>


</div><p><hr>
<a id="method-BinaryPlot-plot"></a></p><div class='section' id='method-plot-'>
<h3>Method <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code></h3>
<p>Plots feature-clustering data from a bi-class problem.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>BinaryPlot$plot(summary)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>summary</code></dt>
<dd><p>A <a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a> comprising the elements to be plotted.</p></dd>


</dl><p></div></p>
</div>

</div><p><hr>
<a id="method-BinaryPlot-clone"></a></p><div class='section' id='method-clone-'>
<h3>Method <code>clone()</code></h3>
<p>The objects of this class are cloneable with this method.</p><div class='section' id='usage'>
<h4>Usage</h4>
<p><div class="r"></p><pre><code>BinaryPlot$clone(deep = FALSE)</code></pre><p></div></p>
</div>

<div class='section' id='arguments'>
<h4>Arguments</h4>
<p><div class="arguments"></p><dl>
<dt><code>deep</code></dt>
<dd><p>Whether to make a deep clone.</p></dd>


</dl><p></div></p>
</div>

</div>


BinaryPlot: Plotting feature clusters following bi-class problem.

Description

Arguments

Super class

Methods

Public methods

Method `new()`

Usage

Method `plot()`

Usage

Arguments

Method `clone()`

Usage

Arguments

See Also

Description

Arguments

Super class

Methods

Public methods

Method new()

Usage

Method plot()

Usage

Arguments

Method clone()

Usage

Arguments

See Also

Method `new()`

Method `plot()`

Method `clone()`