ppgmmga-class

An S3 class object for ppgmmga algorithm

classes

Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) <doi:10.1080/10618600.2019.1598871>.

Luca Scrucca

ppgmmga

Projection Pursuit Based on Gaussian Mixtures and Evolutionary
Algorithms

Alessio Serafini

ppgmmga-class function

Object can be created by calls to the <code>ppgmmga</code> function.

Objects from the class

<dl>
<dt>data</dt>
<dd>The input data matrix.</dd><dt>d</dt>
<dd>The dimension of the projection subspace.</dd><dt>approx</dt>
<dd>The type of approximation used for computing negentropy.</dd><dt>GMM</dt>
<dd>An object of class <code>'densityMclust'</code> containing the Gaussian mixture density estimation. See <code>densityMclust</code> for details.</dd><dt>GA</dt>
<dd>An object of class <code>'ga'</code> containing the Genetic Algorithm search. See <code>ga</code> for details.</dd><dt>Negentropy</dt>
<dd>The value of maximised negentropy.</dd><dt>basis</dt>
<dd>The matrix basis of the projection subspace.</dd><dt>Z</dt>
<dd>The matrix of projected data.</dd>
</dl>

Values

Serafini A. <a href="/link/srf.alessio%40gmail.com?package=ppgmmga&version=1.3" data-mini-rdoc="ppgmmga::srf.alessio@gmail.com">srf.alessio@gmail.com</a> 
Scrucca L. <a href="/link/luca.scrucca%40unipg.it?package=ppgmmga&version=1.3" data-mini-rdoc="ppgmmga::luca.scrucca@unipg.it">luca.scrucca@unipg.it</a>

Author

Class 'ppgmmga' — ppgmmga-class

<dl>
<dt>data</dt>
<dd>The input data matrix.</dd>

<dt>d</dt>
<dd>The dimension of the projection subspace.</dd>

<dt>approx</dt>
<dd>The type of approximation used for computing negentropy.</dd>

<dt>GMM</dt>
<dd>An object of class <code>'densityMclust'</code> containing the Gaussian mixture density estimation. See <code>densityMclust</code> for details.</dd>

<dt>GA</dt>
<dd>An object of class <code>'ga'</code> containing the Genetic Algorithm search. See <code>ga</code> for details.</dd>

<dt>Negentropy</dt>
<dd>The value of maximised negentropy.</dd>

<dt>basis</dt>
<dd>The matrix basis of the projection subspace.</dd>

<dt>Z</dt>
<dd>The matrix of projected data.</dd>


</dl>

Serafini A. <a href='mailto:srf.alessio@gmail.com'>srf.alessio@gmail.com</a> 
Scrucca L. <a href='mailto:luca.scrucca@unipg.it'>luca.scrucca@unipg.it</a>

ppgmmga-class: Class `'ppgmmga'`

Description

Arguments

Objects from the class

Values

Author

See Also