computes k-means from nb_partitions subsets taken from dataPCA — init_kmeans • biodivMapR

computes k-means from nb_partitions subsets taken from dataPCA

init_kmeans(
  dataPCA,
  nb_partitions,
  nbclusters,
  nbCPU = 1,
  algorithm = "Hartigan-Wong",
  progressbar = FALSE
)

Arguments

dataPCA: numeric. initial dataset sampled from PCA image
nb_partitions: numeric. number of k-means then averaged
nbclusters: numeric. number of clusters used in kmeans
nbCPU: numeric. Number of CPUs available
algorithm: character. algorithm used in the kmeans clustering
progressbar: boolean. should progress bar be displayed (set to TRUE only if no conflict of parallel process)

Value

list of centroids and parameters needed to center/reduce data