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

Return the t-SNE dimensionality reduction.

TSNE(x, perplexity = 30, nstart = 10, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
A numeric dataset (data.frame or matrix).
</td>
</tr>
<tr valign="top">
<td><code>perplexity</code></td>
<td>
Specification of the perplexity.
</td>
</tr>
<tr valign="top">
<td><code>nstart</code></td>
<td>
How many random sets should be chosen?
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
Other parameters.
</td>
</tr>
</table>

<code><a href="../../Rtsne/html/Rtsne.html">Rtsne</a></code>

require (datasets)
data (iris)
TSNE (iris [, -5])

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

TSNE

Description

Usage

Arguments

See Also

Examples

fdm2id

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`x`	A numeric dataset (data.frame or matrix).
`perplexity`	Specification of the perplexity.
`nstart`	How many random sets should be chosen?
`...`	Other parameters.