som-class

This class contains the model obtained by the SOM method.

Contains functions to simplify the use of data mining methods (classification, regression, clustering, etc.), for students and beginners in R programming. Various R packages are used and wrappers are built around the main functions, to standardize the use of data mining methods (input/output): it brings a certain loss of flexibility, but also a gain of simplicity. The package name came from the French "Fouille de Données en Master 2 Informatique Décisionnelle".

Alexandre Blansch<c3><a9>

fdm2id

Data Mining and R Programming for Beginners

Alexandre Blansché

som-class function

<dl>
<dt><code>som</code></dt>
<dd>An object of class <code>kohonen</code> representing the fitted map.</dd></dl>
<dt><code>nodes</code></dt>
<dd>A <code>vector</code> of integer indicating the cluster to which each node is allocated.</dd>
<dt><code>cluster</code></dt>
<dd>A <code>vector</code> of integer indicating the cluster to which each observation is allocated.</dd>
<dt><code>data</code></dt>
<dd>The dataset that has been used to fit the map (as a <code>matrix</code>).</dd>

Slots

Self-Organizing Maps model — som-class

<dl>
<dt><code>som</code></dt>
<dd>An object of class <code>kohonen</code> representing the fitted map.</dd>


<dt><code>nodes</code></dt>
<dd>A <code>vector</code> of integer indicating the cluster to which each node is allocated.</dd>


<dt><code>cluster</code></dt>
<dd>A <code>vector</code> of integer indicating the cluster to which each observation is allocated.</dd>


<dt><code>data</code></dt>
<dd>The dataset that has been used to fit the map (as a <code>matrix</code>).</dd>


</dl>

som-class: Self-Organizing Maps model

Description

Arguments

Slots

See Also