predict.em

The classification model (of class <code><a rd-options="" href="/link/em-class?package=fdm2id&version=0.9.6" data-mini-rdoc="fdm2id::em-class">em-class</a></code>, created by <code><a rd-options="" href="/link/EM?package=fdm2id&version=0.9.6" data-mini-rdoc="fdm2id::EM">EM</a></code>).

object

A new dataset (a <code>data.frame</code>), with same variables as the learning dataset.

newdata

Return the closest EM cluster for a new dataset.

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

predict.em function

<dl><dt>object</dt>
<dd>The classification model (of class <code>em-class</code>, created by <code>EM</code>).</dd>
<dt>newdata</dt>
<dd>A new dataset (a <code>data.frame</code>), with same variables as the learning dataset.</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

Predict function for EM — predict.em

<dl>

<dt>object</dt>
<dd>The classification model (of class <code>em-class</code>, created by <code>EM</code>).</dd>


<dt>newdata</dt>
<dd>A new dataset (a <code>data.frame</code>), with same variables as the learning dataset.</dd>


<dt>...</dt>
<dd>Other parameters.</dd>

</dl>

predict.em: Predict function for EM

Description

Usage

Arguments

See Also

Examples