Skip to contents

The screeplot, helps deciding the optimal number of superclasses. Available for both PAM(pam) and hierarchical clustering(hclust).

Usage

geosom_bestsuperclass(
  gsom,
  nclass = 2,
  method = "pam",
  hmethod = "complete",
  bindcoord = FALSE
)

Arguments

gsom

kohonen object, a SOM created by the spEcula::geosom function.

nclass

number of superclasses to be visualized in the screeplot. Default is 2.

method

Method used for clustering. Hierarchical clustering ("hclust") and Partitioning around medoids ("pam") can be used. Default is Partitioning around medoids.

hmethod

For hierarchicical clustering, the clustering method, by default "complete". See the stats::hclust documentation for more details.

bindcoord

Does the cluster of superclass in GeoSOM consider spatial coordination. Defaul is FALSE.

Value

No return value, called for side effects.

Examples

if (FALSE) {
data(pmc)
set.seed(2004)
g = geosom(data = pmc, coords = c("centroidx","centroidy"),
wt = 3,grid = geosomgrid(6,10),normalize = TRUE)
geosom_bestsuperclass(g)
}