generate_data: Generative ESOM

In Umatrix: Visualization of Structures in High-Dimensional Data

Generative ESOM

Description

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

Usage

    generate_data(Data, density_radius, Cls = NULL, gen_per_data = 10)

Arguments

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

Value

Returns a list of results.

original_data	The input data.
original_classes	The input classes.
generated_data	The generated data.
generated_classes	The generated classes.

References

Ultsch A, Lotsch J: Machine-learned cluster identification in high-dimensional data. J Biomed Inform. 2017 Feb;66:95-104. doi: 10.1016/j.jbi.2016.12.011. Epub 2016 Dec 28.

Examples

## Not run: 
data("Hepta")
data("HeptaBMU")
HeptaData <- Hepta$Data
HeptaCls <y- Hepta$Cls
HeptaGenerated <- generate_data(HeptaData, 1, HeptaCls )

## End(Not run)

Umatrix documentation built on Sept. 11, 2024, 8:09 p.m.