ggobi.som: Visualise Kohonen self organising maps with GGobi Displays...

In clusterfly: Explore clustering interactively using R and GGobi

Description

Map variables added as map1 and map2. Plot these to get traditional SOM plot. Tour over all other variables to see how well the map fits the original data.

Usage

## S3 method for class 'som'
ggobi(data, ...)

Arguments

data	SOM object
...	ignored

Examples

## Not run: 
d.music <- read.csv("http://www.ggobi.org/book/data/music-all.csv")

music <- rescaler(d.music)[complete.cases(d.music), 1:10]
music.som <- som::som(music[,-(1:3)], 6, 6, neigh="bubble", rlen=1000)
ggobi(music.som)

## End(Not run)
## Not run: 
d.music <- read.csv("http://www.ggobi.org/book/data/music-all.csv")

music <- rescaler(d.music)[complete.cases(d.music), 1:10]
music.hex <- kohonen::som(music[,-(1:3)], grid = somgrid(3, 3, "hexagonal"), rlen=1000)
music.rect <- kohonen::som(music[,-(1:3)], grid = somgrid(6, 6, "rectangular"), rlen=1000)
ggobi(music.rect)

## End(Not run)

clusterfly documentation built on May 2, 2019, 9:12 a.m.