somDist

Several distance measures between cells or prototypes of a trained SOM (in
grid space, in data space).

Self-organizing maps (also known as SOM, see Kohonen (2001) <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction and clustering of continuous data. This package introduces interactive (html) graphics for easier analysis of SOM results. It also features an interactive interface, for push-button training and visualization of SOM on numeric, categorical or mixed data, as well as tools to evaluate the quality of SOM.

Julien Boelaert

aweSOM

Interactive Self-Organizing Maps

Etienne Ollion

Jan Sodoge

Mohamed Megdoud

Otmane Naji

Arnaud Lemba Kote

Theo Renoud

Samuel Hym

somDist function

<dl><dt>som</dt>
<dd><code>kohonen</code> object, a SOM created by the <code>som</code> function.</dd></dl>

Arguments

Distance measures on a SOM — somDist

<dl>

<dt>som</dt>
<dd><code>kohonen</code> object, a SOM created by the <code>som</code> function.</dd>

</dl>

somDist: Distance measures on a SOM

Description

Usage

Value

Arguments