plot.MclustBounded

Plotting method for model-based clustering of bounded data

Extend the functionality of the 'mclust' package for Gaussian
finite mixture modeling by including: density estimation for data with
bounded support (Scrucca, 2019 <doi:10.1002/bimj.201800174>); modal
clustering using MEM (Modal EM) algorithm for Gaussian mixtures
(Scrucca, 2021 <doi:10.1002/sam.11527>); entropy estimation via
Gaussian mixture modeling (Robin & Scrucca, 2023
<doi:10.1016/j.csda.2022.107582>); Gaussian mixtures modeling of
financial log-returns (Scrucca, 2024 <doi:10.3390/e26110907>).

Luca Scrucca

mclustAddons

Addons for the 'mclust' Package

plot.MclustBounded function

<dl><dt>x</dt>
<dd>An object of class <code>'MclustBounded'</code>.</dd>
<dt>what</dt>
<dd>A string specifying the type of graph requested.
Available choices are:<ul>
<li><code>"BIC"</code> Plot of BIC values used for choosing the number of clusters.</li>
<li><code>"classification"</code> Plot showing the clustering. For data in more than two
dimensions, a scatterplot of pairwise coordinate projections using the
specified <code>dimens</code> is produced.</li>
<li><code>"uncertainty"</code> Plot of classification uncertainty. For data in more than
two dimensions, a scatterplot of pairwise coordinate projections using the
specified <code>dimens</code> is produced.</li>
</ul></dd>
<dt>dimens</dt>
<dd>A vector of integers specifying the dimensions of the coordinate
projections.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd></dl>

Arguments

Plotting method for model-based clustering of bounded data — plot.MclustBounded

<dl>

<dt>x</dt>
<dd>An object of class <code>'MclustBounded'</code>.</dd>


<dt>what</dt>
<dd>A string specifying the type of graph requested.
Available choices are:<ul>
<li><code>"BIC"</code> Plot of BIC values used for choosing the number of clusters.</li>
<li><code>"classification"</code> Plot showing the clustering. For data in more than two
dimensions, a scatterplot of pairwise coordinate projections using the
specified <code>dimens</code> is produced.</li>
<li><code>"uncertainty"</code> Plot of classification uncertainty. For data in more than
two dimensions, a scatterplot of pairwise coordinate projections using the
specified <code>dimens</code> is produced.</li>
</ul></dd>


<dt>dimens</dt>
<dd>A vector of integers specifying the dimensions of the coordinate
projections.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods.</dd>

</dl>

plot.MclustBounded: Plotting method for model-based clustering of bounded data

Description

Usage

Value

Arguments