tSNE

Computes non-linear dimension reduction with Rtsne and default parameters.

A 'shiny' GUI that performs high dimensional cluster analysis.
This tool performs data preparation, clustering and visualisation within a dynamic GUI.
With interactive methods allowing the user to change settings all without having to to leave the GUI.
An earlier version of this package was described in Laa and Valencia (2022) <doi:10.1140/epjp/s13360-021-02310-1>.

Gabriel McCoy

pandemonium

High Dimensional Analysis in Linked Spaces

Ursula Laa

German Valencia

tSNE function

<dl><dt>dist</dt>
<dd>a distance matrix</dd>
<dt>...</dt>
<dd>other parameters expected to be passed to dimReduction</dd></dl>

Arguments

t-Distributed Stochastic Neighbor Embedding — tSNE

<dl>

<dt>dist</dt>
<dd>a distance matrix</dd>


<dt>...</dt>
<dd>other parameters expected to be passed to dimReduction</dd>

</dl>

tSNE: t-Distributed Stochastic Neighbor Embedding

Description

Usage

Value

Arguments

Examples