HexaQerrs: Relative quantization error distribution on the SOM map
In SOMEnv: SOM Algorithm for the Analysis of Multivariate Environmental Data

Description Usage Arguments Details Value Author(s) References

Plot a SOM map with relative quantization error plotted as grayscale according to quartiles

1	HexaQerrs(bmus, qerrs, Coord, Row, Col, color = "black")

`bmus`	Vector with Best Matching Unit for each experimental sample
`qerrs`	Vector with quantization error for each experimental sample
`Coord`	Prototype coordinates for plotting the map
`Row`	Number of SOM map rows
`Col`	Number of SOM map columns
`color`	color filling of the hexagonsType a message

The function evaluate the relative quantization error for each prototype dividing the sum of quantization errors for experimental samples represented by the single prototype by the number of hits of the same prototype, then plots a SOM map with filled hexagons according to the relative quantization error

Plot a SOM map with filled hexagons according to the relative quantization error

Sabina Licen

Licen, S., Cozzutto, S., Barbieri, P. (2020) Aerosol Air Qual. Res., 20 (4), pp. 800-809. DOI: 10.4209/aaqr.2019.08.0414

SOMEnv documentation built on July 26, 2021, 5:06 p.m.