generate_data

Function to generate new data with the same structure as the input data.

By gaining the property of emergence through self-organization, the enhancement of SOMs(self organizing maps) is called Emergent SOM (ESOM). The result of the projection by ESOM is a grid of neurons which can be visualised as a three dimensional landscape in form of the Umatrix. Further details can be found in the referenced publications (see url). This package offers tools for calculating and visualising the ESOM as well as Umatrix, Pmatrix and UStarMatrix. All the functionality is also available through graphical user interfaces implemented in 'shiny'. Based on the recognized data structures, the method can be used to generate new data.

Jorn Lotsch

Umatrix

Visualization of Structures in High-Dimensional Data

Florian Lerch

Michael Thrun

Felix Pape

Raphael Paebst

Alfred Ultsch

generate_data function

<dl> <dt>Data</dt>
<dd>Matrix of data (as submitted to Umatrix generation)</dd> <dt>density_radius</dt>
<dd>Numeric value of data generation radius</dd> <dt>Cls</dt>
<dd>Classification of the data as a vector</dd> <dt>gen_per_data</dt>
<dd>New isntances per original iunstance to be generated</dd></dl>

Arguments

Generative ESOM — generate_data

<dl>

 <dt>Data</dt>
<dd>Matrix of data (as submitted to Umatrix generation)</dd>

 <dt>density_radius</dt>
<dd>Numeric value of data generation radius</dd>

 <dt>Cls</dt>
<dd>Classification of the data as a vector</dd>

 <dt>gen_per_data</dt>
<dd>New isntances per original iunstance to be generated</dd>

</dl>

generate_data: Generative ESOM

Description

Usage

Value

Arguments

References

Examples