predict.kmeans

Return the closest K-means 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.kmeans function

<dl><dt>object</dt>
<dd>The classification model (created by <code>KMEANS</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 K-means — predict.kmeans

<dl>

<dt>object</dt>
<dd>The classification model (created by <code>KMEANS</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.kmeans: Predict function for K-means

Description

Usage

Arguments

See Also

Examples