computes k-means from nb_iter subsets taken from dataPCA — get_kmeans • biodivMapR

computes k-means from nb_iter subsets taken from dataPCA

get_kmeans(
  rast_sample,
  nb_iter,
  nb_clusters = 50,
  nbCPU = 1,
  algorithm = "Hartigan-Wong",
  progressbar = TRUE
)

Arguments

rast_sample: numeric. initial dataset sampled from PCA image
nb_iter: numeric. nb of iterations averaged to compute diversity indices
nb_clusters: numeric. number of clusters used in kmeans
nbCPU: numeric. Number of CPUs available
algorithm: character. algorithm used in the kmeans clustering
progressbar: boolean. set true for progress bar during clustering

Value

list of centroids and parameters needed to center/reduce data