TSNE

Return the t-SNE dimensionality reduction.

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

TSNE function

<dl><dt>x</dt>
<dd>A numeric dataset (data.frame or matrix).</dd>
<dt>perplexity</dt>
<dd>Specification of the perplexity.</dd>
<dt>nstart</dt>
<dd>How many random sets should be chosen?</dd>
<dt>...</dt>
<dd>Other parameters.</dd></dl>

Arguments

t-distributed Stochastic Neighbor Embedding — TSNE

<dl>

<dt>x</dt>
<dd>A numeric dataset (data.frame or matrix).</dd>


<dt>perplexity</dt>
<dd>Specification of the perplexity.</dd>


<dt>nstart</dt>
<dd>How many random sets should be chosen?</dd>


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

</dl>

TSNE: t-distributed Stochastic Neighbor Embedding

Description

Usage

Arguments

See Also

Examples