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".

Data Mining and R Programming for Beginners

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5

Compute the pseudo-F of a clustering result obtained by the K-means method.

<table summary="R argblock"><tr valign="top">
<td><code>clustering</code></td>
<td>
The clustering result (obtained by the function <code><a href="../../stats/html/kmeans.html">kmeans</a></code>).
</td>
</tr></table>

The pseudo-F of the clustering result.

<code><a href="kmeans.getk.html">kmeans.getk</a></code>, <code><a href="KMEANS.html">KMEANS</a></code>, <code><a href="../../stats/html/kmeans.html">kmeans</a></code>

require (datasets)
data (iris)
km = KMEANS (iris [, -5], k = 3)
pseudoF (km)

package-ubuntu-20.04-r-4.0.5#cran#fdm2id-0.9.5#docs#pseudoF

pseudoF

Description

Usage

Arguments

Value

See Also

Examples

fdm2id

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