aweSOMsilhouette | R Documentation |
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.
aweSOMsilhouette(som, clust)
som |
|
clust |
object containing the result of the super-clustering of the SOM
prototypes (either a |
No return value, called for side effects.
## 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)
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