aweSOMsilhouette {aweSOM} | R Documentation |
Silhouette plot of SOM superclasses
Description
Plots a silhouette plot, used to assess the quality of the super-clustering of SOM prototypes into superclasses. Available for both PAM and hierarchical clustering.
Usage
aweSOMsilhouette(som, clust)
Arguments
som |
|
clust |
object containing the result of the super-clustering of the SOM
prototypes (either a |
Value
No return value, called for side effects.
Examples
## Build training data
dat <- iris[, c("Sepal.Length", "Sepal.Width", "Petal.Length", "Petal.Width")]
### Scale training data
dat <- scale(dat)
## Train SOM
### Initialization (PCA grid)
init <- somInit(dat, 4, 4)
ok.som <- kohonen::som(dat, grid = kohonen::somgrid(4, 4, 'hexagonal'),
rlen = 100, alpha = c(0.05, 0.01),
radius = c(2.65,-2.65), init = init,
dist.fcts = 'sumofsquares')
## Group cells into superclasses (PAM clustering)
superclust <- cluster::pam(ok.som$codes[[1]], 2)
superclasses <- superclust$clustering
aweSOMsilhouette(ok.som, superclasses)
[Package aweSOM version 1.3 Index]